iPhone 12
Geekbench AI Score
1970
Single Precision Score
2246
Half Precision Score
2091
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:47 AM |
| Views | 1 |
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% |
392
72.9 IPS |
|
|
Image Classification (HP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (Q)
|
96% |
344
64.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1729
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6136
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
9412
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
8379
9.82 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
92% |
587
46.8 IPS |
|
|
Face Detection (SP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3423
40.7 IPS |
|
|
Face Detection (Q)
|
100% |
3107
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4058
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5613
43.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5043
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12954
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13687
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13348
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1358
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.68 IPS |
