System manufacturer System Product Name
Geekbench ML Score
4089
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 01 2024 07:05 PM |
| Views | 3 |
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 i5-6600K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 970 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1874
350.7 IPS |
|
|
Image Classification (F16)
|
100% |
1845
345.3 IPS |
|
|
Image Classification (I8)
|
100% |
1387
259.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2990
49.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2985
49.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2297
38.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
19361
23.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
18944
22.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16395
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1366
102.0 IPS |
|
|
Object Detection (F16)
|
100% |
1304
97.4 IPS |
|
|
Object Detection (I8)
|
60% |
1587
118.5 IPS |
|
|
Face Detection (F32)
|
100% |
4445
52.8 IPS |
|
|
Face Detection (F16)
|
100% |
4259
50.6 IPS |
|
|
Face Detection (I8)
|
89% |
3223
38.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10220
79.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10200
79.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
7977
61.9 IPS |
|
|
Style Transfer (F32)
|
100% |
34646
45.6 IPS |
|
|
Style Transfer (F16)
|
100% |
34260
45.1 IPS |
|
|
Style Transfer (I8)
|
98% |
28483
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7926
283.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6817
243.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4462
159.4 IPS |
|
|
Text Classification (F32)
|
100% |
1079
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1084
1.56 KIPS |
|
|
Text Classification (I8)
|
98% |
605
869.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2128
39.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2128
39.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1013
18.6 IPS |
