ASUS System Product Name
Geekbench ML Score
21061
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 18 2025 08:41 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% |
12097
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
11975
2.24 KIPS |
|
|
Image Classification (I8)
|
100% |
9758
1.83 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13299
222.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
13724
229.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
12340
206.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
251597
304.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
234633
284.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
209906
254.2 IPS |
|
|
Object Detection (F32)
|
100% |
4935
368.4 IPS |
|
|
Object Detection (F16)
|
100% |
5494
410.2 IPS |
|
|
Object Detection (I8)
|
56% |
4568
341.0 IPS |
|
|
Face Detection (F32)
|
100% |
40351
479.8 IPS |
|
|
Face Detection (F16)
|
100% |
39023
464.0 IPS |
|
|
Face Detection (I8)
|
88% |
33625
399.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
66506
515.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
65092
504.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
51158
396.7 IPS |
|
|
Style Transfer (F32)
|
100% |
217775
286.5 IPS |
|
|
Style Transfer (F16)
|
100% |
233195
306.7 IPS |
|
|
Style Transfer (I8)
|
98% |
206956
272.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23471
838.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22719
811.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17548
626.7 IPS |
|
|
Text Classification (F32)
|
100% |
3465
4.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3473
4.99 KIPS |
|
|
Text Classification (I8)
|
98% |
1918
2.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
4136
76.1 IPS |
|
|
Machine Translation (F16)
|
100% |
4094
75.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2300
42.3 IPS |
