ASUS System Product Name
Geekbench ML Score
21208
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 05:51 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% |
11989
2.24 KIPS |
|
|
Image Classification (F16)
|
100% |
12285
2.30 KIPS |
|
|
Image Classification (I8)
|
100% |
10059
1.88 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13936
232.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
13905
232.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
12461
208.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
230520
279.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
234967
284.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
209199
253.3 IPS |
|
|
Object Detection (F32)
|
100% |
5454
407.2 IPS |
|
|
Object Detection (F16)
|
100% |
5493
410.1 IPS |
|
|
Object Detection (I8)
|
56% |
4605
343.8 IPS |
|
|
Face Detection (F32)
|
100% |
39722
472.3 IPS |
|
|
Face Detection (F16)
|
100% |
38931
462.9 IPS |
|
|
Face Detection (I8)
|
88% |
33364
396.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
64568
500.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
63506
492.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
50816
394.1 IPS |
|
|
Style Transfer (F32)
|
100% |
224597
295.4 IPS |
|
|
Style Transfer (F16)
|
100% |
240524
316.4 IPS |
|
|
Style Transfer (I8)
|
98% |
210865
277.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23296
832.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23512
839.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17513
625.4 IPS |
|
|
Text Classification (F32)
|
100% |
3426
4.92 KIPS |
|
|
Text Classification (F16)
|
100% |
3425
4.92 KIPS |
|
|
Text Classification (I8)
|
98% |
1981
2.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
4170
76.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4163
76.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2353
43.3 IPS |
