ASUS System Product Name
Geekbench ML Score
20853
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 03 2026 08:56 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 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% |
12087
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
12032
2.25 KIPS |
|
|
Image Classification (I8)
|
100% |
9815
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13839
231.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13595
227.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
12544
209.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
226960
274.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
232310
281.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
201895
244.5 IPS |
|
|
Object Detection (F32)
|
100% |
4524
337.8 IPS |
|
|
Object Detection (F16)
|
100% |
5132
383.1 IPS |
|
|
Object Detection (I8)
|
56% |
4644
346.7 IPS |
|
|
Face Detection (F32)
|
100% |
40243
478.5 IPS |
|
|
Face Detection (F16)
|
100% |
39579
470.6 IPS |
|
|
Face Detection (I8)
|
88% |
33183
394.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
64537
500.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
65239
505.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
50850
394.3 IPS |
|
|
Style Transfer (F32)
|
100% |
219817
289.2 IPS |
|
|
Style Transfer (F16)
|
100% |
228518
300.6 IPS |
|
|
Style Transfer (I8)
|
98% |
204162
268.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23393
835.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23389
835.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17976
642.0 IPS |
|
|
Text Classification (F32)
|
100% |
3289
4.73 KIPS |
|
|
Text Classification (F16)
|
100% |
3336
4.79 KIPS |
|
|
Text Classification (I8)
|
98% |
1958
2.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
4139
76.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4135
76.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2317
42.6 IPS |
