ASUS System Product Name
Geekbench ML Score
21006
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 06 2025 06:50 AM |
| Views | 5 |
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% |
11978
2.24 KIPS |
|
|
Image Classification (F16)
|
100% |
11873
2.22 KIPS |
|
|
Image Classification (I8)
|
100% |
9895
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14030
234.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
14010
234.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
12109
202.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
228517
276.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
237297
287.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
200061
242.3 IPS |
|
|
Object Detection (F32)
|
100% |
5629
420.2 IPS |
|
|
Object Detection (F16)
|
100% |
5180
386.8 IPS |
|
|
Object Detection (I8)
|
56% |
4559
340.3 IPS |
|
|
Face Detection (F32)
|
100% |
39392
468.4 IPS |
|
|
Face Detection (F16)
|
100% |
39855
473.9 IPS |
|
|
Face Detection (I8)
|
88% |
33888
402.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
66158
513.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
64945
503.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
50027
388.0 IPS |
|
|
Style Transfer (F32)
|
100% |
230560
303.3 IPS |
|
|
Style Transfer (F16)
|
100% |
225436
296.5 IPS |
|
|
Style Transfer (I8)
|
98% |
208696
274.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24176
863.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23496
839.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17555
626.9 IPS |
|
|
Text Classification (F32)
|
100% |
3399
4.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3379
4.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1905
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
4160
76.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3805
70.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2262
41.6 IPS |
