ASUS System Product Name
Geekbench ML Score
21456
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 05:18 AM |
| Views | 8 |
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% |
12522
2.34 KIPS |
|
|
Image Classification (F16)
|
100% |
12462
2.33 KIPS |
|
|
Image Classification (I8)
|
100% |
10219
1.91 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13915
232.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
13988
233.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12899
215.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
231321
280.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
227422
275.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
205263
248.6 IPS |
|
|
Object Detection (F32)
|
100% |
5533
413.0 IPS |
|
|
Object Detection (F16)
|
100% |
5354
399.7 IPS |
|
|
Object Detection (I8)
|
56% |
4839
361.3 IPS |
|
|
Face Detection (F32)
|
100% |
40079
476.5 IPS |
|
|
Face Detection (F16)
|
100% |
40023
475.9 IPS |
|
|
Face Detection (I8)
|
88% |
33236
395.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
63692
493.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
65076
504.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
51382
398.5 IPS |
|
|
Style Transfer (F32)
|
100% |
233877
307.6 IPS |
|
|
Style Transfer (F16)
|
100% |
232350
305.6 IPS |
|
|
Style Transfer (I8)
|
98% |
211398
278.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23280
831.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23545
840.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18650
666.0 IPS |
|
|
Text Classification (F32)
|
100% |
3628
5.21 KIPS |
|
|
Text Classification (F16)
|
100% |
3606
5.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1993
2.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
4188
77.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4193
77.2 IPS |
|
|
Machine Translation (I8)
|
70% |
2339
43.0 IPS |
