iPhone 14 Pro
Geekbench AI Score
3540
Single Precision Score
6089
Half Precision Score
4964
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 10:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1428
265.6 IPS |
|
|
Image Classification (HP)
|
100% |
2516
467.8 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2687
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6993
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
15126
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13239
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2919
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6086
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3508
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6146
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12169
94.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8338
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18926
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28628
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24171
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4220
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4945
182.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3690
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2636
3.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4708
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4610
6.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3499
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5900
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5928
102.5 IPS |
