iPhone 12
Geekbench AI Score
1893
Single Precision Score
2168
Half Precision Score
2095
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 03:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
362
67.3 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
96% |
325
60.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1634
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6223
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
8722
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
7767
9.11 IPS |
|
|
Object Detection (SP)
|
100% |
677
53.7 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (Q)
|
92% |
637
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
3300
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3388
40.3 IPS |
|
|
Face Detection (Q)
|
100% |
3108
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3247
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5490
42.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5113
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12759
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13510
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
13313
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1562
57.7 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3771
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3745
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (Q)
|
98% |
501
8.66 IPS |
