iPhone 12
Geekbench AI Score
1700
Single Precision Score
2011
Half Precision Score
1850
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 11:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
382
71.1 IPS |
|
|
Image Classification (HP)
|
100% |
337
62.7 IPS |
|
|
Image Classification (Q)
|
96% |
309
57.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1644
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4215
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
6743
7.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
5627
6.60 IPS |
|
|
Object Detection (SP)
|
100% |
661
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
92% |
617
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
2942
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (Q)
|
100% |
3084
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3589
27.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4614
35.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
4156
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11257
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13657
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13370
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1604
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1316
48.6 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2387
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.76 IPS |
|
|
Machine Translation (Q)
|
98% |
497
8.59 IPS |
