ASRock B760M Pro RS
Geekbench AI Score
6488
Single Precision Score
6938
Half Precision Score
15320
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 29 2025 04:26 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% |
4453
828.0 IPS |
|
|
Image Classification (HP)
|
100% |
4463
830.0 IPS |
|
|
Image Classification (Q)
|
100% |
9514
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5305
86.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5728
92.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10488
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8084
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
7970
9.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
28340
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
4036
320.1 IPS |
|
|
Object Detection (HP)
|
100% |
4148
329.0 IPS |
|
|
Object Detection (Q)
|
88% |
10134
812.3 IPS |
|
|
Face Detection (SP)
|
100% |
7543
89.6 IPS |
|
|
Face Detection (HP)
|
100% |
11195
133.0 IPS |
|
|
Face Detection (Q)
|
100% |
23296
276.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10292
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10509
81.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
26878
209.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19995
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23151
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
84455
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5243
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16493
610.8 IPS |
|
|
Text Classification (SP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5267
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5441
93.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5447
93.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5413
93.2 IPS |
