ASRock B760M Pro RS
Geekbench AI Score
6624
Single Precision Score
6720
Half Precision Score
15424
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 29 2025 04:28 PM |
| Views | 3 |
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% |
4442
826.0 IPS |
|
|
Image Classification (HP)
|
100% |
4455
828.4 IPS |
|
|
Image Classification (Q)
|
100% |
9397
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5669
91.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5756
93.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10567
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7975
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
7198
8.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
29224
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3879
307.7 IPS |
|
|
Object Detection (HP)
|
100% |
3977
315.4 IPS |
|
|
Object Detection (Q)
|
88% |
10302
825.8 IPS |
|
|
Face Detection (SP)
|
100% |
11401
135.5 IPS |
|
|
Face Detection (HP)
|
100% |
11488
136.5 IPS |
|
|
Face Detection (Q)
|
100% |
23908
284.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7437
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8198
63.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26998
210.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22436
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23572
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
84875
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5247
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5334
197.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16005
592.7 IPS |
|
|
Text Classification (SP)
|
100% |
3824
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
92% |
5302
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5470
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5540
95.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5484
94.5 IPS |
