iPhone 12
Geekbench AI Score
1632
Single Precision Score
8684
Half Precision Score
8633
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 08:08 AM |
| Views | 4 |
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
121.1 IPS |
|
|
Image Classification (HP)
|
100% |
2879
535.5 IPS |
|
|
Image Classification (Q)
|
96% |
3055
570.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5026
81.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5234
84.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2912
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
37448
43.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
36881
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (HP)
|
99% |
3657
290.9 IPS |
|
|
Object Detection (Q)
|
91% |
3232
258.2 IPS |
|
|
Face Detection (SP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
7141
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
6820
81.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2665
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24336
187.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
23878
186.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8629
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
66788
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64713
83.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13558
500.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13766
508.3 IPS |
|
|
Text Classification (SP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2075
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2072
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1377
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4016
69.4 IPS |
