ASRock B760M Pro RS
Geekbench AI Score
6915
Single Precision Score
6946
Half Precision Score
15530
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 02:15 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% |
4512
839.2 IPS |
|
|
Image Classification (HP)
|
100% |
4488
834.6 IPS |
|
|
Image Classification (Q)
|
100% |
9477
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5680
92.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5758
93.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10554
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8001
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
7151
8.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
29376
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
3928
311.6 IPS |
|
|
Object Detection (HP)
|
100% |
4016
318.5 IPS |
|
|
Object Detection (Q)
|
88% |
10298
825.5 IPS |
|
|
Face Detection (SP)
|
100% |
10636
126.4 IPS |
|
|
Face Detection (HP)
|
100% |
11573
137.5 IPS |
|
|
Face Detection (Q)
|
100% |
24061
285.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10547
81.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10640
82.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
26199
203.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23541
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23648
30.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87824
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5494
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5498
203.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16287
603.2 IPS |
|
|
Text Classification (SP)
|
100% |
3855
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5340
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5554
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5724
98.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5604
96.5 IPS |
