iPhone 12 Pro
Geekbench AI Score
2093
Single Precision Score
2228
Half Precision Score
2099
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:48 AM |
| Views | 4 |
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% |
818
152.1 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
96% |
339
63.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1810
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1759
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6187
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
8927
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
7905
9.27 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (HP)
|
100% |
639
50.7 IPS |
|
|
Object Detection (Q)
|
92% |
602
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3480
41.3 IPS |
|
|
Face Detection (Q)
|
100% |
3127
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3841
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5680
43.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5174
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12745
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13702
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13340
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1633
60.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1420
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3776
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (Q)
|
98% |
507
8.76 IPS |
