ASRock B760M Pro RS
Geekbench AI Score
6714
Single Precision Score
6796
Half Precision Score
15319
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 30 2025 10:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
4433
824.3 IPS |
|
|
Image Classification (HP)
|
100% |
4470
831.3 IPS |
|
|
Image Classification (Q)
|
100% |
9437
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5666
91.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5535
89.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10230
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8012
9.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
7046
8.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
28989
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4006
317.8 IPS |
|
|
Object Detection (HP)
|
100% |
4180
331.5 IPS |
|
|
Object Detection (Q)
|
88% |
9872
791.3 IPS |
|
|
Face Detection (SP)
|
100% |
10992
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
11114
132.1 IPS |
|
|
Face Detection (Q)
|
100% |
23384
277.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10207
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9369
72.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26832
208.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17960
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23579
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
87402
112.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5302
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5314
196.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15985
592.0 IPS |
|
|
Text Classification (SP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3889
5.19 KIPS |
|
|
Text Classification (Q)
|
92% |
5336
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5656
97.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5690
98.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5508
94.9 IPS |
