iPhone 12 Pro
Geekbench AI Score
1389
Single Precision Score
2285
Half Precision Score
1858
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:50 PM |
| Views | 4 |
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% |
563
104.8 IPS |
|
|
Image Classification (HP)
|
100% |
873
162.4 IPS |
|
|
Image Classification (Q)
|
96% |
615
114.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1020
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2706
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6018
7.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
5120
6.00 IPS |
|
|
Object Detection (SP)
|
100% |
592
46.9 IPS |
|
|
Object Detection (HP)
|
97% |
956
76.1 IPS |
|
|
Object Detection (Q)
|
94% |
707
56.4 IPS |
|
|
Face Detection (SP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2283
27.1 IPS |
|
|
Face Detection (Q)
|
100% |
1323
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2228
17.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
4138
32.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2889
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7104
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
11234
14.4 IPS |
|
|
Style Transfer (Q)
|
96% |
9329
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1484
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
1068
1.43 KIPS |
|
|
Text Classification (HP)
|
99% |
1803
2.41 KIPS |
|
|
Text Classification (Q)
|
93% |
1792
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2282
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2279
39.4 IPS |
