ASUS System Product Name
Geekbench ML Score
20862
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 06:23 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% |
12073
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
11957
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9844
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13581
226.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
13047
217.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
12661
211.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
230007
278.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
237092
287.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
196267
237.7 IPS |
|
|
Object Detection (F32)
|
100% |
5165
385.6 IPS |
|
|
Object Detection (F16)
|
100% |
5018
374.7 IPS |
|
|
Object Detection (I8)
|
56% |
4652
347.3 IPS |
|
|
Face Detection (F32)
|
100% |
40081
476.6 IPS |
|
|
Face Detection (F16)
|
100% |
39899
474.4 IPS |
|
|
Face Detection (I8)
|
88% |
33399
397.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
65432
507.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
64023
496.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
50503
391.7 IPS |
|
|
Style Transfer (F32)
|
100% |
217873
286.6 IPS |
|
|
Style Transfer (F16)
|
100% |
219319
288.5 IPS |
|
|
Style Transfer (I8)
|
98% |
206890
272.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23020
822.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24069
859.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17754
634.1 IPS |
|
|
Text Classification (F32)
|
100% |
3359
4.83 KIPS |
|
|
Text Classification (F16)
|
100% |
3294
4.73 KIPS |
|
|
Text Classification (I8)
|
98% |
1942
2.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4116
75.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4135
76.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2305
42.4 IPS |
