ASRock B760M Pro RS
Geekbench AI Score
6677
Single Precision Score
6925
Half Precision Score
15151
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 06:13 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% |
4317
802.7 IPS |
|
|
Image Classification (HP)
|
100% |
4272
794.4 IPS |
|
|
Image Classification (Q)
|
100% |
9494
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5713
92.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5778
93.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10628
172.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8108
9.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
7129
8.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
23106
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
4085
324.0 IPS |
|
|
Object Detection (HP)
|
100% |
4123
327.1 IPS |
|
|
Object Detection (Q)
|
88% |
10360
830.5 IPS |
|
|
Face Detection (SP)
|
100% |
7517
89.3 IPS |
|
|
Face Detection (HP)
|
100% |
11637
138.3 IPS |
|
|
Face Detection (Q)
|
100% |
24095
286.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10429
80.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10795
83.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26428
205.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23845
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23707
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
86886
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5413
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15871
587.8 IPS |
|
|
Text Classification (SP)
|
100% |
3855
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5371
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5530
95.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5688
98.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5596
96.4 IPS |
