iPhone 12 Pro
Geekbench AI Score
2725
Single Precision Score
4653
Half Precision Score
3834
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 08:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
1944
361.6 IPS |
|
|
Image Classification (Q)
|
96% |
1375
256.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2170
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5484
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
11043
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9594
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1284
101.8 IPS |
|
|
Object Detection (HP)
|
97% |
2199
175.1 IPS |
|
|
Object Detection (Q)
|
94% |
1601
127.6 IPS |
|
|
Face Detection (SP)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4659
55.4 IPS |
|
|
Face Detection (Q)
|
100% |
2687
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4714
36.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9017
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6355
49.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13125
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22128
28.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19023
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4077
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3130
115.6 IPS |
|
|
Text Classification (SP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3727
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3572
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2304
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4125
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4134
71.4 IPS |
