iPhone 12
Geekbench AI Score
1374
Single Precision Score
2242
Half Precision Score
1834
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 07 2025 05:40 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
559
104.0 IPS |
|
|
Image Classification (HP)
|
100% |
827
153.9 IPS |
|
|
Image Classification (Q)
|
96% |
603
112.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1014
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2692
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5952
6.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
5103
5.98 IPS |
|
|
Object Detection (SP)
|
100% |
582
46.2 IPS |
|
|
Object Detection (HP)
|
97% |
964
76.8 IPS |
|
|
Object Detection (Q)
|
94% |
696
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2244
26.7 IPS |
|
|
Face Detection (Q)
|
100% |
1321
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2199
16.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4031
31.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2866
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7122
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
11382
14.6 IPS |
|
|
Style Transfer (Q)
|
96% |
9451
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1580
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1960
72.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1469
54.2 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (Q)
|
93% |
1737
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1216
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2180
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2178
37.6 IPS |
