ASUS System Product Name
Geekbench ML Score
1358
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 03:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z790-A GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
650
121.6 IPS |
|
|
Image Classification (F16)
|
100% |
646
120.9 IPS |
|
|
Image Classification (I8)
|
100% |
524
98.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
908
15.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
952
15.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
737
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5260
6.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
5268
6.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
3427
4.15 IPS |
|
|
Object Detection (F32)
|
100% |
649
48.4 IPS |
|
|
Object Detection (F16)
|
100% |
632
47.2 IPS |
|
|
Object Detection (I8)
|
54% |
545
40.7 IPS |
|
|
Face Detection (F32)
|
100% |
1402
16.7 IPS |
|
|
Face Detection (F16)
|
100% |
1406
16.7 IPS |
|
|
Face Detection (I8)
|
89% |
1005
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2935
22.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2960
23.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2210
17.1 IPS |
|
|
Style Transfer (F32)
|
100% |
10409
13.7 IPS |
|
|
Style Transfer (F16)
|
100% |
10402
13.7 IPS |
|
|
Style Transfer (I8)
|
98% |
7800
10.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1721
61.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1770
63.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
941
33.6 IPS |
|
|
Text Classification (F32)
|
100% |
797
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
722
1.04 KIPS |
|
|
Text Classification (I8)
|
98% |
370
532.0 IPS |
|
|
Machine Translation (F32)
|
100% |
656
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
654
12.0 IPS |
|
|
Machine Translation (I8)
|
70% |
395
7.28 IPS |
