iPhone 12 Pro
Geekbench AI Score
2605
Single Precision Score
4644
Half Precision Score
3828
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 03:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
2025
376.6 IPS |
|
|
Image Classification (Q)
|
96% |
1442
269.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2198
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4868
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
10486
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9241
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (HP)
|
97% |
2228
177.4 IPS |
|
|
Object Detection (Q)
|
94% |
1631
130.0 IPS |
|
|
Face Detection (SP)
|
100% |
2481
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
4688
55.7 IPS |
|
|
Face Detection (Q)
|
100% |
2634
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4570
35.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8699
67.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6025
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12341
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20728
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18154
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4104
151.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3042
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2194
37.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4192
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4150
71.7 IPS |
