ASRock B760M Pro RS
Geekbench AI Score
6950
Single Precision Score
6877
Half Precision Score
15595
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 21 2025 02:46 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% |
4456
828.8 IPS |
|
|
Image Classification (HP)
|
100% |
4500
836.8 IPS |
|
|
Image Classification (Q)
|
100% |
9496
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5732
92.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5772
93.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10579
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7800
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
7315
8.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
29665
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
3929
311.6 IPS |
|
|
Object Detection (HP)
|
100% |
3978
315.6 IPS |
|
|
Object Detection (Q)
|
88% |
10359
830.4 IPS |
|
|
Face Detection (SP)
|
100% |
11469
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
11257
133.8 IPS |
|
|
Face Detection (Q)
|
100% |
24039
285.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10754
82.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10958
84.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
26724
207.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24006
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24006
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
88500
114.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5352
197.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4789
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15941
590.3 IPS |
|
|
Text Classification (SP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5360
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5557
95.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5700
98.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5676
97.8 IPS |
