iPhone 12 Pro
Geekbench AI Score
2026
Single Precision Score
2229
Half Precision Score
2110
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
346
64.4 IPS |
|
|
Image Classification (Q)
|
96% |
345
64.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1776
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6126
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
9480
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
8460
9.92 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (Q)
|
92% |
617
49.3 IPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
3114
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4238
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5500
42.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5160
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13033
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13702
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13313
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1359
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3788
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3687
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (Q)
|
98% |
511
8.84 IPS |
