iPhone 12
Geekbench AI Score
1637
Single Precision Score
2868
Half Precision Score
2377
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 11:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
671
124.8 IPS |
|
|
Image Classification (HP)
|
100% |
1057
196.6 IPS |
|
|
Image Classification (Q)
|
96% |
796
148.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
725
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1120
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3176
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
7441
8.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
6505
7.62 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
97% |
1219
97.1 IPS |
|
|
Object Detection (Q)
|
94% |
902
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
1702
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2624
20.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
5216
40.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
3780
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8515
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13585
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11441
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1957
72.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2452
90.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1913
70.6 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2354
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2337
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2885
49.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2883
49.8 IPS |
