ASUS System Product Name
Geekbench ML Score
22662
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 26 2024 02:45 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12452
2.33 KIPS |
|
|
Image Classification (F16)
|
100% |
12949
2.42 KIPS |
|
|
Image Classification (I8)
|
100% |
11535
2.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13941
232.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
14099
235.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12903
215.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
252690
306.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
258424
312.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
235739
285.5 IPS |
|
|
Object Detection (F32)
|
100% |
5472
408.5 IPS |
|
|
Object Detection (F16)
|
100% |
5550
414.3 IPS |
|
|
Object Detection (I8)
|
56% |
5013
374.3 IPS |
|
|
Face Detection (F32)
|
100% |
37696
448.2 IPS |
|
|
Face Detection (F16)
|
100% |
38639
459.4 IPS |
|
|
Face Detection (I8)
|
88% |
33694
400.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
70992
550.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
71262
552.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
57707
447.5 IPS |
|
|
Style Transfer (F32)
|
100% |
234038
307.9 IPS |
|
|
Style Transfer (F16)
|
100% |
228563
300.7 IPS |
|
|
Style Transfer (I8)
|
98% |
214639
282.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25135
897.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25032
894.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19787
706.7 IPS |
|
|
Text Classification (F32)
|
100% |
4059
5.83 KIPS |
|
|
Text Classification (F16)
|
100% |
4016
5.77 KIPS |
|
|
Text Classification (I8)
|
98% |
2639
3.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4135
76.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4134
76.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2739
50.4 IPS |
