iPhone 12 Pro
Geekbench AI Score
2008
Single Precision Score
2282
Half Precision Score
2108
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 04:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
423
78.7 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
96% |
370
69.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1746
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6162
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
8949
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
7848
9.20 IPS |
|
|
Object Detection (SP)
|
100% |
720
57.1 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
92% |
589
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
3575
42.5 IPS |
|
|
Face Detection (Q)
|
100% |
3083
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4166
32.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5612
43.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5187
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12846
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13675
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13215
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1407
52.0 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
98% |
505
8.73 IPS |
