iPhone 14 Pro
Geekbench AI Score
3469
Single Precision Score
6133
Half Precision Score
5008
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 23 2025 09:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
2539
472.1 IPS |
|
|
Image Classification (Q)
|
96% |
1761
328.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2633
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6639
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
15057
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12933
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2905
231.2 IPS |
|
|
Object Detection (Q)
|
94% |
2055
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
2973
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5971
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3424
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5951
45.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11487
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7914
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18192
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29347
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24175
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4018
148.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5115
188.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3879
143.2 IPS |
|
|
Text Classification (SP)
|
100% |
2710
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4830
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6520
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6563
113.4 IPS |
