ASRock B760M Pro RS
Geekbench AI Score
6912
Single Precision Score
6929
Half Precision Score
14757
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 01:10 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% |
4463
830.1 IPS |
|
|
Image Classification (HP)
|
100% |
4493
835.6 IPS |
|
|
Image Classification (Q)
|
100% |
9464
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5687
92.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5732
92.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6735
109.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8028
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
7198
8.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
30083
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3953
313.5 IPS |
|
|
Object Detection (HP)
|
100% |
3971
315.0 IPS |
|
|
Object Detection (Q)
|
88% |
10291
824.9 IPS |
|
|
Face Detection (SP)
|
100% |
11418
135.7 IPS |
|
|
Face Detection (HP)
|
100% |
11654
138.5 IPS |
|
|
Face Detection (Q)
|
100% |
23588
280.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10319
79.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10408
80.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
25674
199.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22198
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24440
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
87431
112.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5508
203.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16579
614.0 IPS |
|
|
Text Classification (SP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3810
5.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5262
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5537
95.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5573
96.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5376
92.6 IPS |
