ASUS System Product Name
Geekbench ML Score
21337
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 27 2024 09:30 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% |
12347
2.31 KIPS |
|
|
Image Classification (F16)
|
100% |
12096
2.26 KIPS |
|
|
Image Classification (I8)
|
100% |
10034
1.88 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13802
230.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
14116
235.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12946
216.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
243281
294.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
231418
280.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
203532
246.5 IPS |
|
|
Object Detection (F32)
|
100% |
5391
402.5 IPS |
|
|
Object Detection (F16)
|
100% |
5589
417.3 IPS |
|
|
Object Detection (I8)
|
56% |
4658
347.8 IPS |
|
|
Face Detection (F32)
|
100% |
40684
483.7 IPS |
|
|
Face Detection (F16)
|
100% |
40386
480.2 IPS |
|
|
Face Detection (I8)
|
88% |
34017
404.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
66088
512.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
68806
533.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
50856
394.4 IPS |
|
|
Style Transfer (F32)
|
100% |
233558
307.2 IPS |
|
|
Style Transfer (F16)
|
100% |
230508
303.2 IPS |
|
|
Style Transfer (I8)
|
98% |
206049
271.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23764
848.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23453
837.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17471
624.0 IPS |
|
|
Text Classification (F32)
|
100% |
3347
4.81 KIPS |
|
|
Text Classification (F16)
|
100% |
3344
4.81 KIPS |
|
|
Text Classification (I8)
|
98% |
1927
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
4194
77.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4185
77.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2330
42.9 IPS |
