iPhone 12 Pro
Geekbench AI Score
2670
Single Precision Score
4584
Half Precision Score
3792
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 02:51 PM |
| Views | 1 |
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% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
2024
376.3 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2162
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4998
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
9948
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8871
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
97% |
2194
174.7 IPS |
|
|
Object Detection (Q)
|
94% |
1626
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4668
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
2585
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4522
34.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8690
67.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6039
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12340
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21340
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18196
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4030
148.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3105
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3697
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3694
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2327
40.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4168
72.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4162
71.9 IPS |
