ASRock B760M Pro RS
Geekbench AI Score
4994
Single Precision Score
1639
Half Precision Score
8151
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 01:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASRock B760M Pro RS |
| Motherboard | ASRock B760M Pro RS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700F |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4061
755.2 IPS |
|
|
Image Classification (HP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (Q)
|
99% |
6508
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4149
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9340
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
29387
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
3667
290.9 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (Q)
|
86% |
7503
603.0 IPS |
|
|
Face Detection (SP)
|
100% |
9894
117.6 IPS |
|
|
Face Detection (HP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
11634
138.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10474
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1978
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17515
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19818
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11025
14.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25070
32.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3550
131.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5551
205.5 IPS |
|
|
Text Classification (SP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1929
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3979
79.9 IPS |
