iPhone 12 Pro
Geekbench AI Score
1923
Single Precision Score
2208
Half Precision Score
2124
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 12 2025 04:16 PM |
| Views | 1 |
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% |
385
71.6 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
96% |
372
69.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1660
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1664
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6130
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
9281
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
8349
9.79 IPS |
|
|
Object Detection (SP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (HP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
92% |
648
51.7 IPS |
|
|
Face Detection (SP)
|
100% |
3329
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
3106
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3490
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5573
42.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5211
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12712
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13683
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13375
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1323
48.8 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3651
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3728
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
98% |
525
9.07 IPS |
