Generic
Geekbench AI Score
1521
Single Precision Score
452
Half Precision Score
1550
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | malasa |
| Upload Date | August 16 2024 02:01 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570 Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
806
150.0 IPS |
|
|
Image Classification (HP)
|
100% |
91
16.9 IPS |
|
|
Image Classification (Q)
|
97% |
1265
236.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
126
2.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3125
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2509
2.93 IPS |
|
|
Pose Estimation (Q)
|
87% |
3635
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
941
74.6 IPS |
|
|
Object Detection (HP)
|
100% |
124
9.82 IPS |
|
|
Object Detection (Q)
|
86% |
820
65.9 IPS |
|
|
Face Detection (SP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
198
2.36 IPS |
|
|
Face Detection (Q)
|
96% |
2230
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3259
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
582
4.48 IPS |
|
|
Depth Estimation (Q)
|
76% |
3181
25.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7408
9.52 IPS |
|
|
Style Transfer (HP)
|
100% |
5757
7.40 IPS |
|
|
Style Transfer (Q)
|
87% |
7301
9.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1269
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
777
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
347
463.1 IPS |
|
|
Text Classification (Q)
|
97% |
284
380.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
405
6.97 IPS |
|
|
Machine Translation (Q)
|
60% |
1110
24.8 IPS |
