B550M Pro4
Geekbench AI Score
18877
Single Precision Score
30340
Half Precision Score
14757
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 05:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M Pro4 |
| Motherboard | ASRock B550M Pro4 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7915
1.47 KIPS |
|
|
Image Classification (HP)
|
99% |
11801
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
6903
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12760
206.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16125
261.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11413
185.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
110973
129.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
343582
400.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
98038
114.8 IPS |
|
|
Object Detection (SP)
|
100% |
9674
767.3 IPS |
|
|
Object Detection (HP)
|
100% |
15278
1.21 KIPS |
|
|
Object Detection (Q)
|
89% |
8645
692.2 IPS |
|
|
Face Detection (SP)
|
100% |
21370
253.9 IPS |
|
|
Face Detection (HP)
|
100% |
32185
382.4 IPS |
|
|
Face Detection (Q)
|
97% |
17694
211.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
46015
354.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87778
676.3 IPS |
|
|
Depth Estimation (Q)
|
72% |
36430
301.0 IPS |
|
|
Style Transfer (SP)
|
100% |
192832
247.9 IPS |
|
|
Style Transfer (HP)
|
100% |
469185
603.1 IPS |
|
|
Style Transfer (Q)
|
98% |
174483
225.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32028
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48194
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23802
881.4 IPS |
|
|
Text Classification (SP)
|
100% |
2587
3.45 KIPS |
|
|
Text Classification (HP)
|
99% |
3008
4.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1762
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3444
59.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1555
34.7 IPS |
