Generic
Geekbench AI Score
1701
Single Precision Score
510
Half Precision Score
1755
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | kyk |
| Upload Date | August 22 2024 06:17 AM |
| 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 B450 Steel Legend |
| Power Plan | AMD Ryzen 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
919
170.9 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.7 IPS |
|
|
Image Classification (Q)
|
97% |
1488
277.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
161
2.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
1135
18.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3228
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2689
3.14 IPS |
|
|
Pose Estimation (Q)
|
87% |
3966
4.68 IPS |
|
|
Object Detection (SP)
|
100% |
1123
89.1 IPS |
|
|
Object Detection (HP)
|
100% |
142
11.2 IPS |
|
|
Object Detection (Q)
|
86% |
971
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
2050
24.4 IPS |
|
|
Face Detection (HP)
|
100% |
222
2.64 IPS |
|
|
Face Detection (Q)
|
96% |
2551
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3698
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
644
4.96 IPS |
|
|
Depth Estimation (Q)
|
76% |
3586
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8023
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6388
8.21 IPS |
|
|
Style Transfer (Q)
|
87% |
8492
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1380
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
401
534.8 IPS |
|
|
Text Classification (Q)
|
97% |
309
413.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
451
7.77 IPS |
|
|
Machine Translation (Q)
|
60% |
1293
28.8 IPS |
