Micro-Star International Co., Ltd. MS-7D75
Geekbench ML Score
4428
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 03:36 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1810
338.7 IPS |
|
|
Image Classification (F16)
|
100% |
1795
335.8 IPS |
|
|
Image Classification (I8)
|
99% |
4635
867.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2368
39.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2161
36.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
2951
49.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
10123
12.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
11466
13.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
36002
43.6 IPS |
|
|
Object Detection (F32)
|
100% |
1943
145.1 IPS |
|
|
Object Detection (F16)
|
100% |
2107
157.3 IPS |
|
|
Object Detection (I8)
|
62% |
2136
159.5 IPS |
|
|
Face Detection (F32)
|
100% |
3862
45.9 IPS |
|
|
Face Detection (F16)
|
100% |
3834
45.6 IPS |
|
|
Face Detection (I8)
|
89% |
5192
61.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9369
72.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8500
65.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
19893
154.3 IPS |
|
|
Style Transfer (F32)
|
100% |
22910
30.1 IPS |
|
|
Style Transfer (F16)
|
100% |
20263
26.7 IPS |
|
|
Style Transfer (I8)
|
98% |
34083
44.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3170
113.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3196
114.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4930
176.1 IPS |
|
|
Text Classification (F32)
|
100% |
1586
2.28 KIPS |
|
|
Text Classification (F16)
|
100% |
1529
2.20 KIPS |
|
|
Text Classification (I8)
|
98% |
405
582.6 IPS |
|
|
Machine Translation (F32)
|
100% |
2974
54.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2899
53.3 IPS |
|
|
Machine Translation (I8)
|
67% |
3617
66.6 IPS |
