ASUS System Product Name
Geekbench ML Score
21416
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 11:13 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% |
12156
2.27 KIPS |
|
|
Image Classification (F16)
|
100% |
11453
2.14 KIPS |
|
|
Image Classification (I8)
|
100% |
9883
1.85 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13765
229.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
13938
232.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12931
216.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
222280
269.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
244491
296.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
233143
282.3 IPS |
|
|
Object Detection (F32)
|
100% |
6958
519.4 IPS |
|
|
Object Detection (F16)
|
100% |
5535
413.2 IPS |
|
|
Object Detection (I8)
|
56% |
4706
351.4 IPS |
|
|
Face Detection (F32)
|
100% |
40572
482.4 IPS |
|
|
Face Detection (F16)
|
100% |
39970
475.2 IPS |
|
|
Face Detection (I8)
|
88% |
33964
403.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
65490
507.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
65708
509.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
50951
395.1 IPS |
|
|
Style Transfer (F32)
|
100% |
223376
293.8 IPS |
|
|
Style Transfer (F16)
|
100% |
228074
300.0 IPS |
|
|
Style Transfer (I8)
|
98% |
202191
266.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23482
838.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23761
848.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17757
634.1 IPS |
|
|
Text Classification (F32)
|
100% |
3283
4.72 KIPS |
|
|
Text Classification (F16)
|
100% |
3391
4.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1930
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4131
76.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4192
77.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2327
42.8 IPS |
