ASUS System Product Name
Geekbench ML Score
20944
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 06:25 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E EXTREME |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 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 | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12180
2.28 KIPS |
|
|
Image Classification (F16)
|
100% |
11988
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9979
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14020
234.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13910
232.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12602
210.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
239118
289.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
221874
268.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
209549
253.8 IPS |
|
|
Object Detection (F32)
|
100% |
5096
380.5 IPS |
|
|
Object Detection (F16)
|
100% |
4511
336.8 IPS |
|
|
Object Detection (I8)
|
56% |
4668
348.5 IPS |
|
|
Face Detection (F32)
|
100% |
40000
475.6 IPS |
|
|
Face Detection (F16)
|
100% |
39033
464.1 IPS |
|
|
Face Detection (I8)
|
88% |
33938
403.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
64897
503.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
63292
490.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
50331
390.3 IPS |
|
|
Style Transfer (F32)
|
100% |
223372
293.8 IPS |
|
|
Style Transfer (F16)
|
100% |
221968
292.0 IPS |
|
|
Style Transfer (I8)
|
98% |
203599
267.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24014
857.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23228
829.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17437
622.7 IPS |
|
|
Text Classification (F32)
|
100% |
3532
5.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3481
5.00 KIPS |
|
|
Text Classification (I8)
|
98% |
1945
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
4159
76.5 IPS |
|
|
Machine Translation (F16)
|
100% |
4149
76.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2262
41.6 IPS |
