iPhone 12
Geekbench AI Score
1614
Single Precision Score
2867
Half Precision Score
2370
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 19 2025 10:11 AM |
| Views | 2 |
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% |
644
119.8 IPS |
|
|
Image Classification (HP)
|
100% |
1037
192.9 IPS |
|
|
Image Classification (Q)
|
96% |
778
145.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1300
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3158
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
7426
8.66 IPS |
|
|
Pose Estimation (Q)
|
95% |
6403
7.51 IPS |
|
|
Object Detection (SP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (HP)
|
97% |
1234
98.2 IPS |
|
|
Object Detection (Q)
|
94% |
922
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (Q)
|
100% |
1705
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2642
20.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5251
40.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
3704
29.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7696
9.89 IPS |
|
|
Style Transfer (HP)
|
100% |
13614
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11480
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1953
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1915
70.7 IPS |
|
|
Text Classification (SP)
|
100% |
1366
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2392
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2365
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2891
50.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2861
49.4 IPS |
