iPhone 12
Geekbench AI Score
2428
Single Precision Score
4313
Half Precision Score
3498
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 15 2025 10:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1058
196.7 IPS |
|
|
Image Classification (HP)
|
100% |
1826
339.6 IPS |
|
|
Image Classification (Q)
|
96% |
1252
233.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
999
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1765
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3957
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
8539
9.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
7959
9.33 IPS |
|
|
Object Detection (SP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (HP)
|
97% |
1981
157.7 IPS |
|
|
Object Detection (Q)
|
94% |
1424
113.5 IPS |
|
|
Face Detection (SP)
|
100% |
2296
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
4292
51.0 IPS |
|
|
Face Detection (Q)
|
100% |
2143
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4227
32.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8310
64.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
5864
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11830
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20587
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17439
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2534
93.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4023
148.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3004
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3930
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4209
72.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4243
73.3 IPS |
