ASRock B760M Pro RS
Geekbench AI Score
6922
Single Precision Score
6897
Half Precision Score
15561
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 02:58 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% |
4457
828.9 IPS |
|
|
Image Classification (HP)
|
100% |
4505
837.8 IPS |
|
|
Image Classification (Q)
|
100% |
9388
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5706
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5774
93.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10540
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7770
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
6970
8.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
29831
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
3986
316.2 IPS |
|
|
Object Detection (HP)
|
100% |
4091
324.5 IPS |
|
|
Object Detection (Q)
|
88% |
10243
821.1 IPS |
|
|
Face Detection (SP)
|
100% |
11494
136.6 IPS |
|
|
Face Detection (HP)
|
100% |
11511
136.8 IPS |
|
|
Face Detection (Q)
|
100% |
24128
286.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10782
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10538
81.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26275
204.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22539
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23762
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88389
114.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5309
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5296
195.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16457
609.5 IPS |
|
|
Text Classification (SP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3810
5.09 KIPS |
|
|
Text Classification (Q)
|
92% |
5345
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5612
96.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5651
97.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5587
96.2 IPS |
