ASRock B760M Pro-A
Geekbench AI Score
4442
Single Precision Score
1600
Half Precision Score
7874
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 17 2025 03:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B760M Pro-A |
| Motherboard | ASRock B760M Pro-A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3351
623.2 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
99% |
6682
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3886
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7345
8.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
4522
5.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
25468
29.9 IPS |
|
|
Object Detection (SP)
|
100% |
3237
256.8 IPS |
|
|
Object Detection (HP)
|
100% |
729
57.8 IPS |
|
|
Object Detection (Q)
|
86% |
7328
589.0 IPS |
|
|
Face Detection (SP)
|
100% |
9122
108.4 IPS |
|
|
Face Detection (HP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
11136
132.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9532
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2224
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16304
130.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17368
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10996
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27274
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3137
115.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5102
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
744
992.6 IPS |
|
|
Text Classification (Q)
|
97% |
1907
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3924
78.9 IPS |
