System manufacturer System Product Name
Geekbench ML Score
4322
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 31 2025 07:21 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z170-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 970 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1963
367.3 IPS |
|
|
Image Classification (F16)
|
100% |
2032
380.2 IPS |
|
|
Image Classification (I8)
|
100% |
1492
279.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
3017
50.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2910
48.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2312
38.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
19847
24.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19673
23.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16820
20.4 IPS |
|
|
Object Detection (F32)
|
100% |
2107
157.3 IPS |
|
|
Object Detection (F16)
|
100% |
2105
157.1 IPS |
|
|
Object Detection (I8)
|
60% |
1738
129.7 IPS |
|
|
Face Detection (F32)
|
100% |
4756
56.6 IPS |
|
|
Face Detection (F16)
|
100% |
4307
51.2 IPS |
|
|
Face Detection (I8)
|
89% |
3241
38.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10279
79.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10285
79.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
8025
62.2 IPS |
|
|
Style Transfer (F32)
|
100% |
33825
44.5 IPS |
|
|
Style Transfer (F16)
|
100% |
34777
45.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28553
37.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8158
291.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6877
245.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5004
178.7 IPS |
|
|
Text Classification (F32)
|
100% |
1094
1.57 KIPS |
|
|
Text Classification (F16)
|
100% |
1043
1.50 KIPS |
|
|
Text Classification (I8)
|
98% |
655
941.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2179
40.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2150
39.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1038
19.1 IPS |
