Generic
Geekbench ML Score
1139
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 21 2024 05:01 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock H370M Pro4 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GT 1030 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
386
72.3 IPS |
|
|
Image Classification (F16)
|
100% |
385
72.0 IPS |
|
|
Image Classification (I8)
|
100% |
354
66.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
985
16.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
993
16.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
859
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
692
0.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
692
0.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
459
0.56 IPS |
|
|
Object Detection (F32)
|
100% |
474
35.4 IPS |
|
|
Object Detection (F16)
|
100% |
476
35.6 IPS |
|
|
Object Detection (I8)
|
60% |
424
31.6 IPS |
|
|
Face Detection (F32)
|
100% |
291
3.46 IPS |
|
|
Face Detection (F16)
|
100% |
291
3.45 IPS |
|
|
Face Detection (I8)
|
89% |
879
10.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3498
27.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3460
26.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2924
22.7 IPS |
|
|
Style Transfer (F32)
|
100% |
16291
21.4 IPS |
|
|
Style Transfer (F16)
|
100% |
16451
21.6 IPS |
|
|
Style Transfer (I8)
|
98% |
13010
17.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3455
123.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3457
123.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2280
81.4 IPS |
|
|
Text Classification (F32)
|
100% |
791
1.14 KIPS |
|
|
Text Classification (F16)
|
100% |
779
1.12 KIPS |
|
|
Text Classification (I8)
|
98% |
480
689.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1183
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1185
21.8 IPS |
|
|
Machine Translation (I8)
|
68% |
528
9.72 IPS |
