iPhone 12
Geekbench AI Score
1703
Single Precision Score
2010
Half Precision Score
1832
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 08:17 AM |
| Views | 2 |
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% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
96% |
306
57.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1704
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
7083
8.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
5515
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.1 IPS |
|
|
Object Detection (HP)
|
100% |
691
54.8 IPS |
|
|
Object Detection (Q)
|
92% |
595
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (Q)
|
100% |
2595
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4264
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4565
35.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
4083
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11186
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13731
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13358
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1521
56.2 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2336
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (Q)
|
98% |
501
8.66 IPS |
