iPhone 12
Geekbench AI Score
1641
Single Precision Score
8711
Half Precision Score
8601
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 01:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
683
126.9 IPS |
|
|
Image Classification (HP)
|
100% |
2868
533.3 IPS |
|
|
Image Classification (Q)
|
96% |
3053
570.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
743
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5223
84.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5226
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3035
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
37118
43.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
36874
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (HP)
|
99% |
3613
287.4 IPS |
|
|
Object Detection (Q)
|
91% |
3199
255.6 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
7096
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
6712
79.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2675
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24610
189.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
23970
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8501
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66553
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64344
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13422
495.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13616
502.8 IPS |
|
|
Text Classification (SP)
|
100% |
1336
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2149
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2100
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3981
68.8 IPS |
