iPhone 12
Geekbench AI Score
1725
Single Precision Score
1972
Half Precision Score
1816
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 10:58 AM |
| Views | 1 |
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% |
391
72.7 IPS |
|
|
Image Classification (HP)
|
100% |
331
61.6 IPS |
|
|
Image Classification (Q)
|
96% |
306
57.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1725
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4219
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
6857
8.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
5487
6.43 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
92% |
631
50.3 IPS |
|
|
Face Detection (SP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
3371
40.0 IPS |
|
|
Face Detection (Q)
|
100% |
2562
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4220
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4493
34.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4167
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11190
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13674
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13356
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1273
47.0 IPS |
|
|
Text Classification (SP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2356
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2345
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.68 IPS |
