ASUS System Product Name
Geekbench ML Score
20548
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 06:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING (WI-FI) |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10040
1.88 KIPS |
|
|
Image Classification (F16)
|
100% |
10092
1.89 KIPS |
|
|
Image Classification (I8)
|
100% |
7777
1.46 KIPS |
|
|
Image Segmentation (F32)
|
100% |
15181
253.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
15580
260.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
12576
210.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
182617
221.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
182851
221.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
149578
181.1 IPS |
|
|
Object Detection (F32)
|
100% |
5556
414.8 IPS |
|
|
Object Detection (F16)
|
100% |
5572
416.0 IPS |
|
|
Object Detection (I8)
|
56% |
5025
375.1 IPS |
|
|
Face Detection (F32)
|
100% |
29611
352.1 IPS |
|
|
Face Detection (F16)
|
100% |
29941
356.0 IPS |
|
|
Face Detection (I8)
|
89% |
22409
266.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
59373
460.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
59476
461.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
44013
341.3 IPS |
|
|
Style Transfer (F32)
|
100% |
313048
411.8 IPS |
|
|
Style Transfer (F16)
|
100% |
313673
412.6 IPS |
|
|
Style Transfer (I8)
|
98% |
245842
323.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
35307
1.26 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
36028
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
25379
906.4 IPS |
|
|
Text Classification (F32)
|
100% |
2856
4.10 KIPS |
|
|
Text Classification (F16)
|
100% |
2956
4.25 KIPS |
|
|
Text Classification (I8)
|
98% |
1754
2.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
4045
74.4 IPS |
|
|
Machine Translation (F16)
|
100% |
4074
75.0 IPS |
|
|
Machine Translation (I8)
|
70% |
2260
41.6 IPS |
