ASUS System Product Name
Geekbench ML Score
18875
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 17 2025 08:59 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 9060 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9679
1.81 KIPS |
|
|
Image Classification (F16)
|
100% |
11442
2.14 KIPS |
|
|
Image Classification (I8)
|
100% |
9365
1.75 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9127
152.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
14294
238.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
12364
206.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
118874
144.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
123324
149.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
107491
130.2 IPS |
|
|
Object Detection (F32)
|
100% |
5194
387.8 IPS |
|
|
Object Detection (F16)
|
100% |
5585
417.0 IPS |
|
|
Object Detection (I8)
|
62% |
5268
393.3 IPS |
|
|
Face Detection (F32)
|
100% |
24781
294.7 IPS |
|
|
Face Detection (F16)
|
100% |
26087
310.2 IPS |
|
|
Face Detection (I8)
|
89% |
20581
244.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
51929
402.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
55457
430.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
43913
340.5 IPS |
|
|
Style Transfer (F32)
|
100% |
189776
249.6 IPS |
|
|
Style Transfer (F16)
|
100% |
193513
254.6 IPS |
|
|
Style Transfer (I8)
|
98% |
172044
226.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28522
1.02 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
32746
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27447
980.2 IPS |
|
|
Text Classification (F32)
|
100% |
3229
4.64 KIPS |
|
|
Text Classification (F16)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (I8)
|
98% |
2347
3.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
4221
77.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5353
98.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2909
53.5 IPS |
