iPhone 12
Geekbench AI Score
1921
Single Precision Score
2117
Half Precision Score
1979
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 11:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
359
66.8 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
96% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1660
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5910
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
7956
9.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
7143
8.38 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
92% |
668
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
3277
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
3640
43.2 IPS |
|
|
Face Detection (Q)
|
100% |
3121
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3908
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5680
43.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5046
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12523
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9985
12.8 IPS |
|
|
Style Transfer (Q)
|
96% |
8161
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1395
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1329
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3828
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
98% |
518
8.95 IPS |
