iPhone 12
Geekbench AI Score
2035
Single Precision Score
2279
Half Precision Score
2166
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | March 16 2026 09:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
398
74.1 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
94% |
354
66.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1664
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1623
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6136
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8920
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
8200
9.62 IPS |
|
|
Object Detection (SP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.0 IPS |
|
|
Object Detection (Q)
|
91% |
609
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
3535
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (Q)
|
100% |
3579
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4091
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5664
43.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
5357
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12675
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13745
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13426
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1331
49.1 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
636
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
600
10.4 IPS |
