iPhone 12 Pro
Geekbench AI Score
1393
Single Precision Score
2230
Half Precision Score
1848
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 08:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
568
105.6 IPS |
|
|
Image Classification (HP)
|
100% |
896
166.6 IPS |
|
|
Image Classification (Q)
|
96% |
634
118.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
663
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1055
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2727
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
5828
6.80 IPS |
|
|
Pose Estimation (Q)
|
95% |
5041
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (HP)
|
97% |
954
75.9 IPS |
|
|
Object Detection (Q)
|
94% |
702
55.9 IPS |
|
|
Face Detection (SP)
|
100% |
1454
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
2363
28.1 IPS |
|
|
Face Detection (Q)
|
100% |
1344
16.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2265
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4288
33.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
3081
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6902
8.87 IPS |
|
|
Style Transfer (HP)
|
100% |
10755
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
9092
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1597
59.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1435
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1793
2.39 KIPS |
|
|
Text Classification (Q)
|
93% |
1789
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1784
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2041
35.3 IPS |
