ASUS System Product Name
Geekbench ML Score
1429
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 12:03 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 30.0 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% |
694
129.8 IPS |
|
|
Image Classification (F16)
|
100% |
692
129.5 IPS |
|
|
Image Classification (I8)
|
100% |
562
105.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1010
16.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1010
16.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
771
12.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4044
4.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
4038
4.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
2922
3.54 IPS |
|
|
Object Detection (F32)
|
100% |
797
59.5 IPS |
|
|
Object Detection (F16)
|
100% |
798
59.6 IPS |
|
|
Object Detection (I8)
|
54% |
662
49.5 IPS |
|
|
Face Detection (F32)
|
100% |
1473
17.5 IPS |
|
|
Face Detection (F16)
|
100% |
1478
17.6 IPS |
|
|
Face Detection (I8)
|
89% |
1047
12.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3011
23.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3013
23.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2302
17.8 IPS |
|
|
Style Transfer (F32)
|
100% |
10794
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10782
14.2 IPS |
|
|
Style Transfer (I8)
|
98% |
8093
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1796
64.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1793
64.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
981
35.0 IPS |
|
|
Text Classification (F32)
|
100% |
858
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
856
1.23 KIPS |
|
|
Text Classification (I8)
|
98% |
422
607.2 IPS |
|
|
Machine Translation (F32)
|
100% |
750
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (I8)
|
70% |
433
7.97 IPS |
