B550M Pro4
Geekbench AI Score
13915
Single Precision Score
23219
Half Precision Score
9534
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 06 2025 10:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | B550M Pro4 |
| Motherboard | ASRock B550M Pro4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5495
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
9635
1.79 KIPS |
|
|
Image Classification (Q)
|
99% |
4151
774.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10098
163.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12699
205.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8008
130.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
68964
80.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
201186
234.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
57219
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
6789
538.5 IPS |
|
|
Object Detection (HP)
|
100% |
11719
929.6 IPS |
|
|
Object Detection (Q)
|
84% |
5227
421.5 IPS |
|
|
Face Detection (SP)
|
100% |
17279
205.3 IPS |
|
|
Face Detection (HP)
|
100% |
27302
324.4 IPS |
|
|
Face Detection (Q)
|
97% |
13607
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33346
256.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
62115
478.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
23048
184.6 IPS |
|
|
Style Transfer (SP)
|
100% |
113541
146.0 IPS |
|
|
Style Transfer (HP)
|
100% |
261490
336.1 IPS |
|
|
Style Transfer (Q)
|
98% |
92774
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22933
846.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34687
1.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13805
511.2 IPS |
|
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (HP)
|
99% |
2787
3.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1102
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3670
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3684
63.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1411
26.5 IPS |
