System manufacturer System Product Name
Geekbench ML Score
8538
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | gkreis |
| Upload Date | March 27 2024 06:39 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Z170-A |
| Power Plan | High performance |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4722
883.7 IPS |
|
|
Image Classification (F16)
|
100% |
4864
910.1 IPS |
|
|
Image Classification (I8)
|
100% |
3727
697.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
5698
95.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
5696
95.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4847
81.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
46121
55.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
46469
56.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
39613
48.0 IPS |
|
|
Object Detection (F32)
|
100% |
2916
217.7 IPS |
|
|
Object Detection (F16)
|
100% |
2949
220.1 IPS |
|
|
Object Detection (I8)
|
61% |
2880
215.0 IPS |
|
|
Face Detection (F32)
|
100% |
13371
159.0 IPS |
|
|
Face Detection (F16)
|
100% |
13384
159.1 IPS |
|
|
Face Detection (I8)
|
89% |
10501
124.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
22878
177.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
29117
225.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
21166
164.1 IPS |
|
|
Style Transfer (F32)
|
100% |
83965
110.4 IPS |
|
|
Style Transfer (F16)
|
100% |
83043
109.2 IPS |
|
|
Style Transfer (I8)
|
98% |
71804
94.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14924
533.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15088
538.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
9422
336.5 IPS |
|
|
Text Classification (F32)
|
100% |
1013
1.46 KIPS |
|
|
Text Classification (F16)
|
100% |
1280
1.84 KIPS |
|
|
Text Classification (I8)
|
98% |
862
1.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
2649
48.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2645
48.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1400
25.8 IPS |
