B550M Pro SE
Geekbench ML Score
13306
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Face_Time_ |
| Upload Date | August 24 2024 02:59 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% |
6431
1.20 KIPS |
|
|
Image Classification (F16)
|
100% |
6340
1.19 KIPS |
|
|
Image Classification (I8)
|
100% |
5592
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
10499
175.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
10220
170.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
9872
164.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
84191
102.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
84147
101.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
53329
64.6 IPS |
|
|
Object Detection (F32)
|
100% |
3289
245.5 IPS |
|
|
Object Detection (F16)
|
100% |
3543
264.5 IPS |
|
|
Object Detection (I8)
|
61% |
4403
328.7 IPS |
|
|
Face Detection (F32)
|
100% |
18247
217.0 IPS |
|
|
Face Detection (F16)
|
100% |
13981
166.2 IPS |
|
|
Face Detection (I8)
|
89% |
15140
180.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
37501
290.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
38324
297.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
28415
220.4 IPS |
|
|
Style Transfer (F32)
|
100% |
141985
186.8 IPS |
|
|
Style Transfer (F16)
|
100% |
130888
172.2 IPS |
|
|
Style Transfer (I8)
|
98% |
117380
154.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25770
920.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
28263
1.01 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
19560
698.5 IPS |
|
|
Text Classification (F32)
|
100% |
2417
3.47 KIPS |
|
|
Text Classification (F16)
|
100% |
2489
3.58 KIPS |
|
|
Text Classification (I8)
|
98% |
1699
2.44 KIPS |
|
|
Machine Translation (F32)
|
100% |
3423
63.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3410
62.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1927
35.5 IPS |
