Default string Default string
Geekbench AI Score
1790
Single Precision Score
540
Half Precision Score
2114
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Paul_ |
| Upload Date | September 03 2024 12:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
118
22.0 IPS |
|
|
Image Classification (Q)
|
97% |
2022
377.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
1332
21.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3033
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (Q)
|
87% |
6224
7.35 IPS |
|
|
Object Detection (SP)
|
100% |
1013
80.3 IPS |
|
|
Object Detection (HP)
|
100% |
160
12.7 IPS |
|
|
Object Detection (Q)
|
86% |
1280
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
1735
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
232
2.75 IPS |
|
|
Face Detection (Q)
|
96% |
2585
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3392
26.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
709
5.46 IPS |
|
|
Depth Estimation (Q)
|
76% |
3938
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6933
8.91 IPS |
|
|
Style Transfer (HP)
|
100% |
5828
7.49 IPS |
|
|
Style Transfer (Q)
|
87% |
10260
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1313
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1147
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1848
68.5 IPS |
|
|
Text Classification (SP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
519
693.2 IPS |
|
|
Text Classification (Q)
|
97% |
335
448.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1437
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.78 IPS |
|
|
Machine Translation (Q)
|
60% |
1289
28.8 IPS |
