iPhone 12
Geekbench AI Score
1379
Single Precision Score
2262
Half Precision Score
1847
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 29 2025 09:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
560
104.2 IPS |
|
|
Image Classification (HP)
|
100% |
853
158.6 IPS |
|
|
Image Classification (Q)
|
96% |
606
113.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2691
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5998
7.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
5128
6.01 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
97% |
950
75.6 IPS |
|
|
Object Detection (Q)
|
94% |
703
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
1373
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2265
26.9 IPS |
|
|
Face Detection (Q)
|
100% |
1326
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2218
17.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4102
31.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2903
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7113
9.14 IPS |
|
|
Style Transfer (HP)
|
100% |
11372
14.6 IPS |
|
|
Style Transfer (Q)
|
96% |
9331
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1584
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1965
72.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1484
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1790
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1779
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2190
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2200
38.0 IPS |
