ASRock B760M Pro RS
Geekbench AI Score
6982
Single Precision Score
6532
Half Precision Score
15103
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 06:40 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% |
4478
832.8 IPS |
|
|
Image Classification (HP)
|
100% |
4501
837.1 IPS |
|
|
Image Classification (Q)
|
100% |
9536
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5625
91.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5796
94.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10619
172.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8294
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
8450
9.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
23677
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4055
321.6 IPS |
|
|
Object Detection (HP)
|
100% |
4116
326.5 IPS |
|
|
Object Detection (Q)
|
88% |
10351
829.7 IPS |
|
|
Face Detection (SP)
|
100% |
11401
135.5 IPS |
|
|
Face Detection (HP)
|
100% |
7932
94.2 IPS |
|
|
Face Detection (Q)
|
100% |
24106
286.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10903
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6838
52.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26459
205.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22542
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24295
31.2 IPS |
|
|
Style Transfer (Q)
|
98% |
88485
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5331
196.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5344
197.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15957
591.0 IPS |
|
|
Text Classification (SP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
92% |
5374
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5644
97.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5737
98.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5143
88.6 IPS |
