B550M Pro SE
Geekbench ML Score
13369
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Face_Time_ |
| Upload Date | August 24 2024 02:54 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M Pro SE |
| Motherboard | ASRock B550M Pro SE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6147
1.15 KIPS |
|
|
Image Classification (F16)
|
100% |
6111
1.14 KIPS |
|
|
Image Classification (I8)
|
100% |
5638
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10091
168.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
9508
158.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
9140
152.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
83486
101.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
82918
100.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
73206
88.6 IPS |
|
|
Object Detection (F32)
|
100% |
4307
321.5 IPS |
|
|
Object Detection (F16)
|
100% |
4475
334.1 IPS |
|
|
Object Detection (I8)
|
61% |
4374
326.5 IPS |
|
|
Face Detection (F32)
|
100% |
17567
208.9 IPS |
|
|
Face Detection (F16)
|
100% |
17208
204.6 IPS |
|
|
Face Detection (I8)
|
89% |
14371
170.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
34191
265.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
38073
295.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
30088
233.3 IPS |
|
|
Style Transfer (F32)
|
100% |
127960
168.3 IPS |
|
|
Style Transfer (F16)
|
100% |
129589
170.5 IPS |
|
|
Style Transfer (I8)
|
98% |
116025
152.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24992
892.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26048
930.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19034
679.8 IPS |
|
|
Text Classification (F32)
|
100% |
2297
3.30 KIPS |
|
|
Text Classification (F16)
|
100% |
2273
3.27 KIPS |
|
|
Text Classification (I8)
|
98% |
1567
2.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
3401
62.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3404
62.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1994
36.7 IPS |
