ASUS System Product Name
Geekbench ML Score
19762
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 04 2025 08:23 AM |
| Views | 7 |
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% |
11600
2.17 KIPS |
|
|
Image Classification (F16)
|
100% |
11552
2.16 KIPS |
|
|
Image Classification (I8)
|
100% |
9995
1.87 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14618
244.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
14493
242.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
12588
210.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
120801
146.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
121258
146.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
107543
130.2 IPS |
|
|
Object Detection (F32)
|
100% |
5680
424.0 IPS |
|
|
Object Detection (F16)
|
100% |
5696
425.3 IPS |
|
|
Object Detection (I8)
|
62% |
5439
406.1 IPS |
|
|
Face Detection (F32)
|
100% |
23740
282.3 IPS |
|
|
Face Detection (F16)
|
100% |
26225
311.8 IPS |
|
|
Face Detection (I8)
|
89% |
19412
230.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
54596
423.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
55473
430.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
44306
343.6 IPS |
|
|
Style Transfer (F32)
|
100% |
199452
262.4 IPS |
|
|
Style Transfer (F16)
|
100% |
198535
261.2 IPS |
|
|
Style Transfer (I8)
|
98% |
169033
222.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
27005
964.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
32741
1.17 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
24283
867.2 IPS |
|
|
Text Classification (F32)
|
100% |
3868
5.56 KIPS |
|
|
Text Classification (F16)
|
100% |
3822
5.49 KIPS |
|
|
Text Classification (I8)
|
98% |
2459
3.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
5358
98.6 IPS |
|
|
Machine Translation (F16)
|
100% |
5378
99.0 IPS |
|
|
Machine Translation (I8)
|
70% |
3106
57.2 IPS |
