iPhone 12 Pro
Geekbench AI Score
1393
Single Precision Score
2220
Half Precision Score
1831
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 02:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
555
103.3 IPS |
|
|
Image Classification (HP)
|
100% |
845
157.1 IPS |
|
|
Image Classification (Q)
|
96% |
608
113.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1040
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2693
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5811
6.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
5026
5.89 IPS |
|
|
Object Detection (SP)
|
100% |
603
47.8 IPS |
|
|
Object Detection (HP)
|
97% |
957
76.2 IPS |
|
|
Object Detection (Q)
|
94% |
706
56.3 IPS |
|
|
Face Detection (SP)
|
100% |
1446
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1344
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2264
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4302
33.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
2955
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6966
8.95 IPS |
|
|
Style Transfer (HP)
|
100% |
11046
14.2 IPS |
|
|
Style Transfer (Q)
|
96% |
9116
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1435
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
1043
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1795
2.40 KIPS |
|
|
Text Classification (Q)
|
93% |
1789
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1757
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2032
35.1 IPS |
