iPhone 12
Geekbench AI Score
2411
Single Precision Score
12545
Half Precision Score
12528
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 11:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1215
225.9 IPS |
|
|
Image Classification (HP)
|
100% |
4556
847.2 IPS |
|
|
Image Classification (Q)
|
96% |
4811
898.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1090
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7861
127.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8564
138.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4217
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
59613
69.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
60464
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
1078
85.5 IPS |
|
|
Object Detection (HP)
|
99% |
6038
480.3 IPS |
|
|
Object Detection (Q)
|
91% |
5597
447.2 IPS |
|
|
Face Detection (SP)
|
100% |
2367
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
11928
141.7 IPS |
|
|
Face Detection (Q)
|
100% |
10030
119.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4112
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36912
284.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
36097
282.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11031
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
102013
131.1 IPS |
|
|
Style Transfer (Q)
|
96% |
96410
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19536
721.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19395
716.2 IPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (Q)
|
93% |
2404
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3673
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4198
72.6 IPS |
