ASUS System Product Name
Geekbench ML Score
18365
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 08:48 AM |
| Views | 3 |
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% |
9495
1.78 KIPS |
|
|
Image Classification (F16)
|
100% |
11104
2.08 KIPS |
|
|
Image Classification (I8)
|
100% |
8892
1.66 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8932
149.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13520
225.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
11465
191.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
116677
141.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
119502
144.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
108581
131.5 IPS |
|
|
Object Detection (F32)
|
100% |
5338
398.5 IPS |
|
|
Object Detection (F16)
|
100% |
5762
430.2 IPS |
|
|
Object Detection (I8)
|
62% |
5208
388.8 IPS |
|
|
Face Detection (F32)
|
100% |
24296
288.9 IPS |
|
|
Face Detection (F16)
|
100% |
25844
307.3 IPS |
|
|
Face Detection (I8)
|
89% |
20009
237.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
52059
403.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
53550
415.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
42618
330.5 IPS |
|
|
Style Transfer (F32)
|
100% |
195298
256.9 IPS |
|
|
Style Transfer (F16)
|
100% |
195081
256.6 IPS |
|
|
Style Transfer (I8)
|
98% |
171640
225.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
30133
1.08 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
26782
956.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
25328
904.5 IPS |
|
|
Text Classification (F32)
|
100% |
3117
4.48 KIPS |
|
|
Text Classification (F16)
|
100% |
3398
4.88 KIPS |
|
|
Text Classification (I8)
|
98% |
2211
3.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
4256
78.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4887
89.9 IPS |
|
|
Machine Translation (I8)
|
70% |
2718
50.0 IPS |
