iPhone 12
Geekbench AI Score
1911
Single Precision Score
2217
Half Precision Score
2093
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:29 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% |
392
72.8 IPS |
|
|
Image Classification (HP)
|
100% |
371
68.9 IPS |
|
|
Image Classification (Q)
|
96% |
328
61.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1618
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6141
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
9770
11.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
8749
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
655
52.0 IPS |
|
|
Object Detection (HP)
|
100% |
592
47.0 IPS |
|
|
Object Detection (Q)
|
92% |
593
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
3266
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (Q)
|
100% |
3157
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5709
44.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5230
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12666
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13672
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13292
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1393
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1385
51.1 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3839
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
499
8.60 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.67 IPS |
|
|
Machine Translation (Q)
|
98% |
504
8.72 IPS |
