ASUS System Product Name
Geekbench ML Score
17233
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 09 2025 08:58 AM |
| Views | 4 |
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% |
9466
1.77 KIPS |
|
|
Image Classification (F16)
|
100% |
9468
1.77 KIPS |
|
|
Image Classification (I8)
|
100% |
8285
1.55 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9409
157.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
9200
153.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
8407
140.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
120838
146.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
121449
147.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
105053
127.2 IPS |
|
|
Object Detection (F32)
|
100% |
5084
379.6 IPS |
|
|
Object Detection (F16)
|
100% |
5185
387.1 IPS |
|
|
Object Detection (I8)
|
62% |
5336
398.4 IPS |
|
|
Face Detection (F32)
|
100% |
23713
282.0 IPS |
|
|
Face Detection (F16)
|
100% |
23766
282.6 IPS |
|
|
Face Detection (I8)
|
89% |
19143
227.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
49816
386.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
51448
399.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
42100
326.5 IPS |
|
|
Style Transfer (F32)
|
100% |
190781
251.0 IPS |
|
|
Style Transfer (F16)
|
100% |
196379
258.3 IPS |
|
|
Style Transfer (I8)
|
98% |
166541
219.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29130
1.04 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27653
987.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
22439
801.4 IPS |
|
|
Text Classification (F32)
|
100% |
3181
4.57 KIPS |
|
|
Text Classification (F16)
|
100% |
3200
4.60 KIPS |
|
|
Text Classification (I8)
|
98% |
1866
2.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
4112
75.7 IPS |
|
|
Machine Translation (F16)
|
100% |
4135
76.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2481
45.7 IPS |
