iPhone 12
Geekbench AI Score
1379
Single Precision Score
2256
Half Precision Score
1843
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 11:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
563
104.7 IPS |
|
|
Image Classification (HP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (Q)
|
96% |
608
113.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2704
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5923
6.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
5118
6.00 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
97% |
938
74.6 IPS |
|
|
Object Detection (Q)
|
94% |
697
55.6 IPS |
|
|
Face Detection (SP)
|
100% |
1381
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (Q)
|
100% |
1320
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2205
17.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4057
31.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
2867
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7101
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
11497
14.8 IPS |
|
|
Style Transfer (Q)
|
96% |
9324
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1981
73.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1485
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1817
2.43 KIPS |
|
|
Text Classification (Q)
|
93% |
1808
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2170
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2170
37.5 IPS |
