iPhone 12 Pro
Geekbench AI Score
2450
Single Precision Score
4412
Half Precision Score
3599
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Leonito |
| Upload Date | December 10 2025 10:08 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1088
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1670
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2047
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4406
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
9366
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8185
9.59 IPS |
|
|
Object Detection (SP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (HP)
|
97% |
2060
164.0 IPS |
|
|
Object Detection (Q)
|
94% |
1480
117.9 IPS |
|
|
Face Detection (SP)
|
100% |
2324
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
4363
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
2416
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4180
32.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8321
64.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
5663
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11479
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19859
25.5 IPS |
|
|
Style Transfer (Q)
|
96% |
16962
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2412
89.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3776
139.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2837
104.7 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3878
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4070
70.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3978
68.8 IPS |
