iPhone 12 Pro
Geekbench AI Score
2663
Single Precision Score
4591
Half Precision Score
3817
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 27 2025 01:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1275
237.1 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.1 IPS |
|
|
Image Classification (Q)
|
96% |
1377
257.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2165
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5150
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
10555
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9253
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
97% |
2201
175.2 IPS |
|
|
Object Detection (Q)
|
94% |
1599
127.5 IPS |
|
|
Face Detection (SP)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4624
54.9 IPS |
|
|
Face Detection (Q)
|
100% |
2661
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4655
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8890
68.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6474
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12469
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21223
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18288
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2633
97.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4036
149.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3166
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
2140
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3646
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4143
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4133
71.4 IPS |
