ASRock B760M Pro RS
Geekbench AI Score
6939
Single Precision Score
6830
Half Precision Score
15633
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 03:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B760M Pro RS |
| Motherboard | ASRock B760M Pro RS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700KF |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4651
864.9 IPS |
|
|
Image Classification (HP)
|
100% |
4437
825.1 IPS |
|
|
Image Classification (Q)
|
100% |
9732
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4595
74.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5575
90.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10572
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8582
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
8560
9.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
31245
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
3973
315.1 IPS |
|
|
Object Detection (HP)
|
100% |
4032
319.8 IPS |
|
|
Object Detection (Q)
|
88% |
10102
809.8 IPS |
|
|
Face Detection (SP)
|
100% |
11683
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
11480
136.4 IPS |
|
|
Face Detection (Q)
|
100% |
23533
279.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10481
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10669
82.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26336
204.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25181
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
18086
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
86771
111.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5287
195.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5416
200.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16504
611.2 IPS |
|
|
Text Classification (SP)
|
100% |
3928
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
92% |
5461
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5547
95.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5522
95.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5542
95.5 IPS |
