ASRock B760M Pro RS
Geekbench AI Score
6826
Single Precision Score
6737
Half Precision Score
14910
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 01:22 PM |
| 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% |
4439
825.6 IPS |
|
|
Image Classification (HP)
|
100% |
4475
832.3 IPS |
|
|
Image Classification (Q)
|
100% |
9456
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5689
92.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5666
91.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10491
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7367
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
6247
7.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
28606
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4048
321.1 IPS |
|
|
Object Detection (HP)
|
100% |
4102
325.3 IPS |
|
|
Object Detection (Q)
|
88% |
10067
807.0 IPS |
|
|
Face Detection (SP)
|
100% |
10975
130.4 IPS |
|
|
Face Detection (HP)
|
100% |
11209
133.2 IPS |
|
|
Face Detection (Q)
|
100% |
23749
282.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10595
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10807
83.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
26914
209.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22666
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20903
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
61157
78.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5285
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5311
196.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16455
609.4 IPS |
|
|
Text Classification (SP)
|
100% |
3803
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
92% |
5294
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5509
94.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5706
98.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5582
96.2 IPS |
