ASUS System Product Name
Geekbench ML Score
21024
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 10:51 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 7900 XTX |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
12073
2.26 KIPS |
|
|
Image Classification (F16)
|
100% |
12017
2.25 KIPS |
|
|
Image Classification (I8)
|
100% |
9856
1.84 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14072
235.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13846
231.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
12564
209.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
228669
276.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
229744
278.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
203367
246.3 IPS |
|
|
Object Detection (F32)
|
100% |
4750
354.6 IPS |
|
|
Object Detection (F16)
|
100% |
5457
407.4 IPS |
|
|
Object Detection (I8)
|
56% |
4807
358.8 IPS |
|
|
Face Detection (F32)
|
100% |
40320
479.4 IPS |
|
|
Face Detection (F16)
|
100% |
40333
479.6 IPS |
|
|
Face Detection (I8)
|
88% |
33807
402.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
65388
507.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
65044
504.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
51007
395.6 IPS |
|
|
Style Transfer (F32)
|
100% |
225085
296.1 IPS |
|
|
Style Transfer (F16)
|
100% |
226354
297.7 IPS |
|
|
Style Transfer (I8)
|
98% |
209543
275.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22411
800.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23013
821.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17896
639.1 IPS |
|
|
Text Classification (F32)
|
100% |
3477
5.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3442
4.95 KIPS |
|
|
Text Classification (I8)
|
98% |
1905
2.74 KIPS |
|
|
Machine Translation (F32)
|
100% |
4090
75.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4169
76.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2259
41.6 IPS |
