ASRock B760M Pro RS
Geekbench AI Score
6917
Single Precision Score
7048
Half Precision Score
15075
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 08 2025 11:29 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% |
4407
819.7 IPS |
|
|
Image Classification (HP)
|
100% |
4508
838.4 IPS |
|
|
Image Classification (Q)
|
100% |
9521
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5720
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5727
92.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10404
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8112
9.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
8273
9.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
23682
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
4094
324.8 IPS |
|
|
Object Detection (HP)
|
100% |
4170
330.7 IPS |
|
|
Object Detection (Q)
|
88% |
10081
808.1 IPS |
|
|
Face Detection (SP)
|
100% |
11098
131.9 IPS |
|
|
Face Detection (HP)
|
100% |
11307
134.4 IPS |
|
|
Face Detection (Q)
|
100% |
24082
286.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10609
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10893
83.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
26902
209.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23026
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24390
31.4 IPS |
|
|
Style Transfer (Q)
|
98% |
84546
109.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5248
193.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16007
592.8 IPS |
|
|
Text Classification (SP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3900
5.21 KIPS |
|
|
Text Classification (Q)
|
92% |
5375
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5451
93.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5529
95.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5441
93.7 IPS |
