ASRock B760M Pro RS
Geekbench AI Score
5017
Single Precision Score
1619
Half Precision Score
8074
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 06:01 PM |
| 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% |
4002
744.3 IPS |
|
|
Image Classification (HP)
|
100% |
626
116.4 IPS |
|
|
Image Classification (Q)
|
99% |
7146
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4151
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8293
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
3878
4.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
28096
32.9 IPS |
|
|
Object Detection (SP)
|
100% |
3668
290.9 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (Q)
|
86% |
7309
587.4 IPS |
|
|
Face Detection (SP)
|
100% |
10080
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
1696
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
11792
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10989
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2122
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
17524
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20512
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10850
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23588
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2121
78.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
1848
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1906
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4125
82.9 IPS |
