ASRock B660M Pro RS
Geekbench AI Score
1560
Single Precision Score
1628
Half Precision Score
1038
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | eclipse10000 |
| Upload Date | August 16 2024 02:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B660M Pro RS |
| Motherboard | ASRock B660M Pro RS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| 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% |
661
122.9 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.1 IPS |
|
|
Image Classification (Q)
|
100% |
539
100.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
761
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3936
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5082
5.93 IPS |
|
|
Pose Estimation (Q)
|
98% |
2878
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
98% |
640
51.0 IPS |
|
|
Object Detection (Q)
|
89% |
622
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
980
11.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2879
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3109
24.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
2102
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10718
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14391
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7969
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
910
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
483
644.7 IPS |
|
|
Text Classification (Q)
|
97% |
424
567.8 IPS |
|
|
Machine Translation (SP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (Q)
|
60% |
313
6.98 IPS |
