ASRock B760M Pro RS
Geekbench AI Score
6541
Single Precision Score
6701
Half Precision Score
15552
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 01:29 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% |
4474
832.0 IPS |
|
|
Image Classification (HP)
|
100% |
4380
814.6 IPS |
|
|
Image Classification (Q)
|
100% |
9493
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5646
91.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5691
92.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10573
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8026
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
7147
8.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
28956
33.9 IPS |
|
|
Object Detection (SP)
|
100% |
3851
305.4 IPS |
|
|
Object Detection (HP)
|
100% |
3950
313.3 IPS |
|
|
Object Detection (Q)
|
88% |
10335
828.5 IPS |
|
|
Face Detection (SP)
|
100% |
11415
135.6 IPS |
|
|
Face Detection (HP)
|
100% |
11539
137.1 IPS |
|
|
Face Detection (Q)
|
100% |
23248
276.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6538
50.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10620
81.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
27107
210.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21259
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18571
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88310
113.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5403
199.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5323
196.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16515
611.6 IPS |
|
|
Text Classification (SP)
|
100% |
3824
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5331
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5603
96.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5567
95.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5627
96.9 IPS |
