ASRock B760M PG Riptide
Geekbench AI Score
3974
Single Precision Score
1828
Half Precision Score
5897
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 14 2025 12:21 AM |
| 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% |
2973
552.9 IPS |
|
|
Image Classification (HP)
|
100% |
672
124.9 IPS |
|
|
Image Classification (Q)
|
99% |
6276
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2626
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5932
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
4865
5.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
19848
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
2842
225.4 IPS |
|
|
Object Detection (HP)
|
100% |
858
68.0 IPS |
|
|
Object Detection (Q)
|
86% |
5514
443.1 IPS |
|
|
Face Detection (SP)
|
100% |
6646
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
1988
23.6 IPS |
|
|
Face Detection (Q)
|
97% |
8594
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7684
59.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2540
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
14851
118.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14142
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11255
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22707
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2880
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2428
89.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4614
170.9 IPS |
|
|
Text Classification (SP)
|
100% |
1915
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1030
1.38 KIPS |
|
|
Text Classification (Q)
|
97% |
678
908.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2611
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3113
62.5 IPS |
