iPhone 12
Geekbench AI Score
1573
Single Precision Score
8956
Half Precision Score
8916
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 12:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
647
120.3 IPS |
|
|
Image Classification (HP)
|
100% |
3404
633.1 IPS |
|
|
Image Classification (Q)
|
96% |
3079
575.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5045
81.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6123
99.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2785
3.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
37514
43.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
37009
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
676
53.6 IPS |
|
|
Object Detection (HP)
|
99% |
3675
292.4 IPS |
|
|
Object Detection (Q)
|
91% |
3271
261.4 IPS |
|
|
Face Detection (SP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
7421
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
6949
82.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2619
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24579
189.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
23966
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8546
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
67094
86.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64431
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1958
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13492
498.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13702
505.9 IPS |
|
|
Text Classification (SP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (Q)
|
93% |
2318
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3796
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4086
70.6 IPS |
