ASUS System Product Name
Geekbench ML Score
15368
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 19 2024 02:22 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. CROSSHAIR VI HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 512 KB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11083
2.07 KIPS |
|
|
Image Classification (F16)
|
100% |
11329
2.12 KIPS |
|
|
Image Classification (I8)
|
100% |
9312
1.74 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9846
164.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
9637
160.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
9304
155.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
212215
257.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
187928
227.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
174450
211.3 IPS |
|
|
Object Detection (F32)
|
100% |
2699
201.5 IPS |
|
|
Object Detection (F16)
|
100% |
2688
200.7 IPS |
|
|
Object Detection (I8)
|
56% |
2242
167.4 IPS |
|
|
Face Detection (F32)
|
100% |
32716
389.0 IPS |
|
|
Face Detection (F16)
|
100% |
32540
386.9 IPS |
|
|
Face Detection (I8)
|
89% |
25719
305.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
37366
289.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
39093
303.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
25420
197.1 IPS |
|
|
Style Transfer (F32)
|
100% |
130207
171.3 IPS |
|
|
Style Transfer (F16)
|
100% |
131610
173.1 IPS |
|
|
Style Transfer (I8)
|
98% |
124375
163.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10461
373.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10161
362.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8916
318.4 IPS |
|
|
Text Classification (F32)
|
100% |
3370
4.84 KIPS |
|
|
Text Classification (F16)
|
100% |
3483
5.01 KIPS |
|
|
Text Classification (I8)
|
98% |
2453
3.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
4357
80.2 IPS |
|
|
Machine Translation (F16)
|
100% |
4379
80.6 IPS |
|
|
Machine Translation (I8)
|
70% |
3012
55.4 IPS |
