iPhone 12
Geekbench AI Score
1638
Single Precision Score
8803
Half Precision Score
8669
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 06:03 AM |
| Views | 10 |
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% |
651
121.2 IPS |
|
|
Image Classification (HP)
|
100% |
2885
536.5 IPS |
|
|
Image Classification (Q)
|
96% |
3053
570.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5036
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5239
84.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
37206
43.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
36894
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (HP)
|
99% |
3610
287.2 IPS |
|
|
Object Detection (Q)
|
91% |
3215
256.9 IPS |
|
|
Face Detection (SP)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
8187
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
7309
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2767
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24576
189.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
23593
184.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8494
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66729
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
63596
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1936
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13501
498.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13690
505.5 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2110
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3993
69.0 IPS |
