iPhone 12
Geekbench AI Score
1635
Single Precision Score
1859
Half Precision Score
1744
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 09:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
331
61.5 IPS |
|
|
Image Classification (HP)
|
100% |
326
60.6 IPS |
|
|
Image Classification (Q)
|
96% |
305
56.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1408
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1718
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1692
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4191
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
4999
5.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
4593
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.2 IPS |
|
|
Object Detection (HP)
|
100% |
672
53.3 IPS |
|
|
Object Detection (Q)
|
92% |
599
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
2743
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
2564
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4305
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4579
35.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
4116
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10491
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13660
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13283
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1583
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1508
55.7 IPS |
|
|
Text Classification (SP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1771
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
494
8.52 IPS |
|
|
Machine Translation (Q)
|
98% |
492
8.50 IPS |
