iPhone 12 Pro
Geekbench AI Score
1926
Single Precision Score
2197
Half Precision Score
2087
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 10:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
96% |
342
63.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1619
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5983
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
8729
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
7498
8.79 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.9 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
92% |
615
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3360
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
3107
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3357
25.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5648
43.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5221
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12455
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13278
17.1 IPS |
|
|
Style Transfer (Q)
|
96% |
12815
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1484
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3864
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
98% |
513
8.87 IPS |
