ASRock B760M Pro RS
Geekbench AI Score
6362
Single Precision Score
6593
Half Precision Score
14416
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 19 2025 12:55 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% |
4487
834.5 IPS |
|
|
Image Classification (HP)
|
100% |
4490
835.0 IPS |
|
|
Image Classification (Q)
|
100% |
9472
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5660
91.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5699
92.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10489
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8072
9.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
7327
8.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
29355
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3960
314.1 IPS |
|
|
Object Detection (HP)
|
100% |
4057
321.8 IPS |
|
|
Object Detection (Q)
|
88% |
10343
829.1 IPS |
|
|
Face Detection (SP)
|
100% |
11486
136.5 IPS |
|
|
Face Detection (HP)
|
100% |
11494
136.6 IPS |
|
|
Face Detection (Q)
|
100% |
14415
171.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6678
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6373
49.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
26971
209.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15107
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23898
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
68547
88.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5493
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16398
607.3 IPS |
|
|
Text Classification (SP)
|
100% |
3867
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
92% |
5336
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5443
93.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5522
95.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5514
95.0 IPS |
