ASUS System Product Name
Geekbench ML Score
21218
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 14 2025 06:33 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% |
12316
2.30 KIPS |
|
|
Image Classification (F16)
|
100% |
12205
2.28 KIPS |
|
|
Image Classification (I8)
|
100% |
9960
1.86 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13781
230.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13837
231.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
12573
210.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
247859
300.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
241580
292.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
210479
254.9 IPS |
|
|
Object Detection (F32)
|
100% |
5280
394.2 IPS |
|
|
Object Detection (F16)
|
100% |
5603
418.3 IPS |
|
|
Object Detection (I8)
|
56% |
4420
330.0 IPS |
|
|
Face Detection (F32)
|
100% |
40087
476.6 IPS |
|
|
Face Detection (F16)
|
100% |
39483
469.5 IPS |
|
|
Face Detection (I8)
|
88% |
33494
398.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
64682
501.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
64645
501.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
50670
392.9 IPS |
|
|
Style Transfer (F32)
|
100% |
220606
290.2 IPS |
|
|
Style Transfer (F16)
|
100% |
224792
295.7 IPS |
|
|
Style Transfer (I8)
|
98% |
208005
273.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23050
823.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23255
830.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17453
623.3 IPS |
|
|
Text Classification (F32)
|
100% |
3516
5.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3509
5.04 KIPS |
|
|
Text Classification (I8)
|
98% |
1946
2.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
4191
77.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4205
77.4 IPS |
|
|
Machine Translation (I8)
|
70% |
2335
43.0 IPS |
