iPhone 12 Pro
Geekbench AI Score
2722
Single Precision Score
4636
Half Precision Score
3839
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 09:05 PM |
| 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 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% |
1267
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (Q)
|
96% |
1371
256.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2169
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5392
6.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
10984
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9613
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
97% |
2179
173.5 IPS |
|
|
Object Detection (Q)
|
94% |
1598
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4647
55.2 IPS |
|
|
Face Detection (Q)
|
100% |
2701
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4740
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9057
70.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6414
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13172
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22380
28.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19113
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4165
153.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3164
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
2099
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3581
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4057
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4059
70.1 IPS |
