ASUS System Product Name
Geekbench ML Score
21183
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 22 2024 09:03 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% |
12430
2.33 KIPS |
|
|
Image Classification (F16)
|
100% |
12122
2.27 KIPS |
|
|
Image Classification (I8)
|
100% |
10020
1.88 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14088
235.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
13937
232.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12608
210.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
221487
268.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
252412
305.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
207846
251.7 IPS |
|
|
Object Detection (F32)
|
100% |
4479
334.4 IPS |
|
|
Object Detection (F16)
|
100% |
5297
395.5 IPS |
|
|
Object Detection (I8)
|
56% |
4888
364.9 IPS |
|
|
Face Detection (F32)
|
100% |
40423
480.6 IPS |
|
|
Face Detection (F16)
|
100% |
40751
484.5 IPS |
|
|
Face Detection (I8)
|
88% |
33997
404.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
64913
503.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
65552
508.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
50101
388.5 IPS |
|
|
Style Transfer (F32)
|
100% |
225890
297.1 IPS |
|
|
Style Transfer (F16)
|
100% |
229985
302.5 IPS |
|
|
Style Transfer (I8)
|
98% |
208545
274.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23715
846.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23408
836.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18056
644.8 IPS |
|
|
Text Classification (F32)
|
100% |
3407
4.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3407
4.90 KIPS |
|
|
Text Classification (I8)
|
98% |
1921
2.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
4199
77.3 IPS |
|
|
Machine Translation (F16)
|
100% |
4200
77.3 IPS |
|
|
Machine Translation (I8)
|
70% |
2345
43.2 IPS |
