iPhone 12 Pro
Geekbench AI Score
2649
Single Precision Score
4727
Half Precision Score
3945
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 01 2026 08:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1202
223.5 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.3 IPS |
|
|
Image Classification (Q)
|
96% |
1465
273.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2177
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4824
5.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
10734
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9526
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
97% |
2223
177.0 IPS |
|
|
Object Detection (Q)
|
94% |
1666
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2747
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4649
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9213
71.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6589
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13065
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21918
28.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19182
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4144
153.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3221
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2255
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4234
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4203
72.6 IPS |
