ASRock B760M Pro RS
Geekbench AI Score
5020
Single Precision Score
1626
Half Precision Score
8140
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 02:11 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4229
786.5 IPS |
|
|
Image Classification (HP)
|
100% |
578
107.4 IPS |
|
|
Image Classification (Q)
|
99% |
7131
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2231
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4124
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9164
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4115
4.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
29751
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3633
288.2 IPS |
|
|
Object Detection (HP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (Q)
|
86% |
7290
585.9 IPS |
|
|
Face Detection (SP)
|
100% |
10006
118.9 IPS |
|
|
Face Detection (HP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
11664
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10859
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2106
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16551
132.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20408
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10894
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24457
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3370
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2076
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5643
209.0 IPS |
|
|
Text Classification (SP)
|
100% |
1879
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1973
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3811
76.6 IPS |
