iPhone 12 Pro
Geekbench AI Score
2098
Single Precision Score
3745
Half Precision Score
2956
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 07:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
1831
340.4 IPS |
|
|
Image Classification (Q)
|
96% |
1351
252.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1067
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2078
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3583
4.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
8309
9.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
4492
5.26 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
97% |
2021
160.9 IPS |
|
|
Object Detection (Q)
|
94% |
580
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (Q)
|
100% |
2012
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4047
31.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8864
68.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
5890
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11332
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13286
17.1 IPS |
|
|
Style Transfer (Q)
|
96% |
17502
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2156
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2797
103.3 IPS |
|
|
Text Classification (SP)
|
100% |
1774
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2998
4.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1981
34.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3995
69.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4012
69.3 IPS |
