Micro-Star International Co., Ltd. MS-7E12
Geekbench ML Score
14990
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 09:46 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7284
1.36 KIPS |
|
|
Image Classification (F16)
|
100% |
7289
1.36 KIPS |
|
|
Image Classification (I8)
|
100% |
5052
945.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
12301
205.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
12158
203.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
9615
160.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
99524
120.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
99641
120.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
79196
95.9 IPS |
|
|
Object Detection (F32)
|
100% |
5703
425.7 IPS |
|
|
Object Detection (F16)
|
100% |
5749
429.2 IPS |
|
|
Object Detection (I8)
|
63% |
4678
349.2 IPS |
|
|
Face Detection (F32)
|
100% |
20495
243.7 IPS |
|
|
Face Detection (F16)
|
100% |
21250
252.7 IPS |
|
|
Face Detection (I8)
|
89% |
15136
180.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
41824
324.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
42006
325.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
28852
223.7 IPS |
|
|
Style Transfer (F32)
|
100% |
177438
233.4 IPS |
|
|
Style Transfer (F16)
|
100% |
165338
217.5 IPS |
|
|
Style Transfer (I8)
|
98% |
126723
166.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30717
1.10 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29705
1.06 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
17777
634.9 IPS |
|
|
Text Classification (F32)
|
100% |
2474
3.56 KIPS |
|
|
Text Classification (F16)
|
100% |
2492
3.58 KIPS |
|
|
Text Classification (I8)
|
98% |
1235
1.78 KIPS |
|
|
Machine Translation (F32)
|
100% |
3995
73.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3991
73.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1656
30.5 IPS |
