ASRock B760M Pro RS
Geekbench AI Score
2856
Single Precision Score
1223
Half Precision Score
4713
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 10:44 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% |
4065
756.0 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.1 IPS |
|
|
Image Classification (Q)
|
99% |
7139
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4130
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8964
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
3958
4.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
3204
3.76 IPS |
|
|
Object Detection (SP)
|
100% |
212
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
86% |
310
24.9 IPS |
|
|
Face Detection (SP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (HP)
|
100% |
501
5.95 IPS |
|
|
Face Detection (Q)
|
97% |
11842
141.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11144
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2204
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17635
140.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19670
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10830
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23854
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3583
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2196
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5128
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1836
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2389
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
876
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3937
79.1 IPS |
