iPhone 12
Geekbench AI Score
1684
Single Precision Score
2003
Half Precision Score
1810
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (HP)
|
100% |
333
62.0 IPS |
|
|
Image Classification (Q)
|
96% |
310
58.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1635
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4188
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
6947
8.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
5622
6.59 IPS |
|
|
Object Detection (SP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (Q)
|
92% |
604
48.2 IPS |
|
|
Face Detection (SP)
|
100% |
2646
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (Q)
|
100% |
2402
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4326
33.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4581
35.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4087
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11337
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13636
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13375
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1466
54.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1415
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
1356
1.81 KIPS |
|
|
Text Classification (HP)
|
99% |
2357
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2353
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
484
8.33 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.62 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.67 IPS |
