ASUS System Product Name
Geekbench ML Score
19109
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 07:05 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| 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% |
9907
1.85 KIPS |
|
|
Image Classification (F16)
|
100% |
11485
2.15 KIPS |
|
|
Image Classification (I8)
|
100% |
9326
1.75 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9526
159.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
14285
238.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
12383
206.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
116108
140.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
122256
148.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
106624
129.1 IPS |
|
|
Object Detection (F32)
|
100% |
5246
391.6 IPS |
|
|
Object Detection (F16)
|
100% |
5856
437.2 IPS |
|
|
Object Detection (I8)
|
62% |
5359
400.1 IPS |
|
|
Face Detection (F32)
|
100% |
24374
289.8 IPS |
|
|
Face Detection (F16)
|
100% |
26622
316.5 IPS |
|
|
Face Detection (I8)
|
89% |
20757
246.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
51698
400.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
54330
421.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
42904
332.7 IPS |
|
|
Style Transfer (F32)
|
100% |
198509
261.1 IPS |
|
|
Style Transfer (F16)
|
100% |
201368
264.9 IPS |
|
|
Style Transfer (I8)
|
98% |
164297
216.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30127
1.08 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33198
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27084
967.2 IPS |
|
|
Text Classification (F32)
|
100% |
3254
4.68 KIPS |
|
|
Text Classification (F16)
|
100% |
3845
5.53 KIPS |
|
|
Text Classification (I8)
|
98% |
2330
3.35 KIPS |
|
|
Machine Translation (F32)
|
100% |
4635
85.3 IPS |
|
|
Machine Translation (F16)
|
100% |
5413
99.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2908
53.5 IPS |
