iPhone 12
Geekbench AI Score
2451
Single Precision Score
4439
Half Precision Score
3668
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 01 2026 12:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1218
226.4 IPS |
|
|
Image Classification (HP)
|
100% |
2022
375.9 IPS |
|
|
Image Classification (Q)
|
96% |
1451
270.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1102
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2100
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4306
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
9206
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8170
9.58 IPS |
|
|
Object Detection (SP)
|
100% |
1114
88.3 IPS |
|
|
Object Detection (HP)
|
97% |
2179
173.5 IPS |
|
|
Object Detection (Q)
|
94% |
1555
123.9 IPS |
|
|
Face Detection (SP)
|
100% |
2352
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
4418
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2495
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4102
31.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8497
65.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6168
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11153
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19628
25.2 IPS |
|
|
Style Transfer (Q)
|
96% |
17017
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2344
86.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3852
142.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3030
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3895
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2131
36.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3937
68.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3690
63.8 IPS |
