ASUS System Product Name
Geekbench ML Score
18937
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 25 2025 08:34 AM |
| Views | 11 |
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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10987
2.06 KIPS |
|
|
Image Classification (F16)
|
100% |
10837
2.03 KIPS |
|
|
Image Classification (I8)
|
100% |
9429
1.76 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11616
194.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13052
218.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
12423
207.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
122791
148.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
122240
148.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
107723
130.4 IPS |
|
|
Object Detection (F32)
|
100% |
5758
429.9 IPS |
|
|
Object Detection (F16)
|
100% |
5654
422.1 IPS |
|
|
Object Detection (I8)
|
62% |
5330
397.9 IPS |
|
|
Face Detection (F32)
|
100% |
25631
304.8 IPS |
|
|
Face Detection (F16)
|
100% |
25970
308.8 IPS |
|
|
Face Detection (I8)
|
89% |
20616
245.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
53604
415.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
53850
417.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
42342
328.4 IPS |
|
|
Style Transfer (F32)
|
100% |
177387
233.3 IPS |
|
|
Style Transfer (F16)
|
100% |
196118
258.0 IPS |
|
|
Style Transfer (I8)
|
98% |
168022
221.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28742
1.03 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
30251
1.08 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26216
936.2 IPS |
|
|
Text Classification (F32)
|
100% |
2895
4.16 KIPS |
|
|
Text Classification (F16)
|
100% |
3396
4.88 KIPS |
|
|
Text Classification (I8)
|
98% |
2238
3.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
4936
90.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4915
90.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2951
54.3 IPS |
