ASRock B760M Pro RS
Geekbench AI Score
6893
Single Precision Score
6793
Half Precision Score
15542
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 11:10 AM |
| 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% |
4486
834.3 IPS |
|
|
Image Classification (HP)
|
100% |
4485
834.1 IPS |
|
|
Image Classification (Q)
|
100% |
9491
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5712
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5740
93.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10562
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8023
9.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
29745
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
3904
309.7 IPS |
|
|
Object Detection (HP)
|
100% |
4037
320.2 IPS |
|
|
Object Detection (Q)
|
88% |
10402
833.8 IPS |
|
|
Face Detection (SP)
|
100% |
11402
135.5 IPS |
|
|
Face Detection (HP)
|
100% |
11253
133.7 IPS |
|
|
Face Detection (Q)
|
100% |
23325
277.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9751
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9975
76.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
26893
209.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23487
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23928
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
88027
113.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5500
203.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16543
612.6 IPS |
|
|
Text Classification (SP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
3897
5.20 KIPS |
|
|
Text Classification (Q)
|
92% |
5282
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5459
94.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5547
95.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5497
94.7 IPS |
