iPhone 12
Geekbench AI Score
1659
Single Precision Score
1989
Half Precision Score
1845
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 01:00 PM |
| 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% |
341
63.5 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
96% |
307
57.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1401
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1627
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4196
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
7057
8.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
5722
6.71 IPS |
|
|
Object Detection (SP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
92% |
620
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
3618
43.0 IPS |
|
|
Face Detection (Q)
|
100% |
3080
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3780
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4623
35.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4061
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11274
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13663
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13344
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1314
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2359
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2346
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.64 IPS |
|
|
Machine Translation (Q)
|
98% |
503
8.69 IPS |
