ASRock B760M Pro RS
Geekbench AI Score
6486
Single Precision Score
6322
Half Precision Score
15549
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 18 2025 01:30 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% |
4460
829.5 IPS |
|
|
Image Classification (HP)
|
100% |
4511
839.0 IPS |
|
|
Image Classification (Q)
|
100% |
9452
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5733
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5773
93.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10583
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7996
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
7226
8.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
29376
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3909
310.1 IPS |
|
|
Object Detection (HP)
|
100% |
4051
321.3 IPS |
|
|
Object Detection (Q)
|
88% |
10343
829.1 IPS |
|
|
Face Detection (SP)
|
100% |
11418
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
7449
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
23953
284.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6879
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6517
50.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
27122
211.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18173
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23590
30.3 IPS |
|
|
Style Transfer (Q)
|
98% |
87211
112.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5522
203.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16481
610.3 IPS |
|
|
Text Classification (SP)
|
100% |
3890
5.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3816
5.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5286
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5405
93.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5547
95.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5510
94.9 IPS |
