ASUS System Product Name
Geekbench ML Score
20902
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 02 2025 05:33 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 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11765
2.20 KIPS |
|
|
Image Classification (F16)
|
100% |
11849
2.22 KIPS |
|
|
Image Classification (I8)
|
100% |
9596
1.80 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13960
233.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13562
226.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12512
209.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
250841
303.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
237850
288.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
210189
254.5 IPS |
|
|
Object Detection (F32)
|
100% |
5475
408.8 IPS |
|
|
Object Detection (F16)
|
100% |
5026
375.2 IPS |
|
|
Object Detection (I8)
|
56% |
4553
339.9 IPS |
|
|
Face Detection (F32)
|
100% |
38456
457.3 IPS |
|
|
Face Detection (F16)
|
100% |
38156
453.7 IPS |
|
|
Face Detection (I8)
|
88% |
33114
393.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
66298
514.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
64640
501.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
50011
387.8 IPS |
|
|
Style Transfer (F32)
|
100% |
216081
284.2 IPS |
|
|
Style Transfer (F16)
|
100% |
222468
292.6 IPS |
|
|
Style Transfer (I8)
|
98% |
198528
261.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23102
825.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23212
829.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17401
621.5 IPS |
|
|
Text Classification (F32)
|
100% |
3473
4.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3443
4.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1904
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
4148
76.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4091
75.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2261
41.6 IPS |
