iPhone 12
Geekbench AI Score
2613
Single Precision Score
4666
Half Precision Score
3869
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | khageeli |
| Upload Date | April 17 2026 12:16 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
2012
374.1 IPS |
|
|
Image Classification (Q)
|
96% |
1449
270.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2167
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4867
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
11197
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9504
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1195
94.8 IPS |
|
|
Object Detection (HP)
|
97% |
2230
177.5 IPS |
|
|
Object Detection (Q)
|
94% |
1584
126.3 IPS |
|
|
Face Detection (SP)
|
100% |
2417
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4540
53.9 IPS |
|
|
Face Detection (Q)
|
100% |
2596
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4441
34.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8670
67.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6349
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12674
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21413
27.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18560
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3156
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4241
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4244
73.4 IPS |
