iPhone 12 Pro
Geekbench AI Score
2725
Single Precision Score
4790
Half Precision Score
3995
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | November 09 2025 04:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1225
227.9 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.0 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2182
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5256
6.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
11194
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10020
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (HP)
|
97% |
2249
179.1 IPS |
|
|
Object Detection (Q)
|
94% |
1662
132.4 IPS |
|
|
Face Detection (SP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4756
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2773
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4846
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9370
72.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6711
52.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13855
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23140
29.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19973
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4244
156.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3226
119.1 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3903
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3882
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4203
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4213
72.8 IPS |
