iPhone 12
Geekbench AI Score
1702
Single Precision Score
1998
Half Precision Score
1805
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:32 AM |
| 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% |
353
65.6 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.8 IPS |
|
|
Image Classification (Q)
|
96% |
308
57.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1420
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1684
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4233
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
6915
8.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
5565
6.53 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.1 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.2 IPS |
|
|
Object Detection (Q)
|
92% |
588
46.9 IPS |
|
|
Face Detection (SP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
3400
40.4 IPS |
|
|
Face Detection (Q)
|
100% |
2545
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4192
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4589
35.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4142
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11225
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13689
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13343
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1494
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1315
48.5 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2369
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2343
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (Q)
|
98% |
501
8.66 IPS |
