B660 Pro RS
Geekbench AI Score
4098
Single Precision Score
1624
Half Precision Score
5737
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Shougeki |
| Upload Date | January 24 2025 12:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | B660 Pro RS |
| Motherboard | ASRock B660 Pro RS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3412
634.5 IPS |
|
|
Image Classification (HP)
|
100% |
602
112.0 IPS |
|
|
Image Classification (Q)
|
99% |
5878
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1875
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3192
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7330
8.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4453
5.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
23402
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
2825
224.1 IPS |
|
|
Object Detection (HP)
|
100% |
688
54.5 IPS |
|
|
Object Detection (Q)
|
86% |
5844
469.7 IPS |
|
|
Face Detection (SP)
|
100% |
6338
75.3 IPS |
|
|
Face Detection (HP)
|
100% |
1618
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
8986
107.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9236
71.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2094
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15247
121.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16551
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11060
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17088
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3044
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2186
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4015
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
1780
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
876
1.17 KIPS |
|
|
Text Classification (Q)
|
97% |
593
794.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1925
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2701
54.3 IPS |
