ASUS System Product Name
Geekbench ML Score
23459
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 01:47 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 96.0 MB x 1 |
| 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% |
13575
2.54 KIPS |
|
|
Image Classification (F16)
|
100% |
13630
2.55 KIPS |
|
|
Image Classification (I8)
|
100% |
11921
2.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12747
212.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
15509
259.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
14778
246.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
272647
330.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
257891
312.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
232959
282.1 IPS |
|
|
Object Detection (F32)
|
100% |
5450
406.9 IPS |
|
|
Object Detection (F16)
|
100% |
5558
415.0 IPS |
|
|
Object Detection (I8)
|
56% |
4977
371.6 IPS |
|
|
Face Detection (F32)
|
100% |
42918
510.3 IPS |
|
|
Face Detection (F16)
|
100% |
42761
508.4 IPS |
|
|
Face Detection (I8)
|
88% |
36524
434.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
66523
515.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
67526
523.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
54837
425.3 IPS |
|
|
Style Transfer (F32)
|
100% |
234447
308.4 IPS |
|
|
Style Transfer (F16)
|
100% |
231428
304.4 IPS |
|
|
Style Transfer (I8)
|
98% |
211982
278.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26917
961.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26651
951.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21001
750.0 IPS |
|
|
Text Classification (F32)
|
100% |
3974
5.71 KIPS |
|
|
Text Classification (F16)
|
100% |
3945
5.67 KIPS |
|
|
Text Classification (I8)
|
98% |
2635
3.79 KIPS |
|
|
Machine Translation (F32)
|
100% |
4727
87.0 IPS |
|
|
Machine Translation (F16)
|
100% |
4751
87.4 IPS |
|
|
Machine Translation (I8)
|
70% |
3047
56.1 IPS |
