ASRock B760M PG Riptide
Geekbench AI Score
3860
Single Precision Score
1753
Half Precision Score
5800
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 11:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12400F |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | ASRock B760M PG Riptide |
| Motherboard | ASRock B760M PG Riptide |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2937
546.1 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.3 IPS |
|
|
Image Classification (Q)
|
99% |
6140
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2592
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5544
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4328
5.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
19245
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
2741
217.5 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.8 IPS |
|
|
Object Detection (Q)
|
86% |
5415
435.2 IPS |
|
|
Face Detection (SP)
|
100% |
6293
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
1966
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
8508
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7666
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2487
19.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
14656
117.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13220
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10883
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22524
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4578
169.5 IPS |
|
|
Text Classification (SP)
|
100% |
1916
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1026
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
674
903.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2538
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3002
60.3 IPS |
