iPhone 12 Pro
Geekbench AI Score
1696
Single Precision Score
1911
Half Precision Score
1751
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:47 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% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
96% |
308
57.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1491
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5927
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5054
5.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
4521
5.30 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
92% |
642
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
2945
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (Q)
|
100% |
2785
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4280
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5638
43.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4425
34.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10546
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13718
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13287
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1351
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (HP)
|
99% |
1800
2.40 KIPS |
|
|
Text Classification (Q)
|
93% |
1790
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (Q)
|
98% |
516
8.92 IPS |
