iPhone 14 Pro
Geekbench AI Score
3563
Single Precision Score
6071
Half Precision Score
4930
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 06:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
2501
465.1 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1447
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2692
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7035
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
15129
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12992
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2921
232.6 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6074
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3490
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6281
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12202
94.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8255
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18869
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28474
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23842
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4198
155.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4927
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3718
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2624
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4638
6.19 KIPS |
|
|
Text Classification (Q)
|
93% |
4563
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5892
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5860
101.3 IPS |
