iPhone 14 Pro
Geekbench AI Score
3565
Single Precision Score
6073
Half Precision Score
4922
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 05:34 AM |
| 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% |
1419
263.9 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.7 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2201
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6936
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
15136
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12909
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2922
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2059
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6083
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3499
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6249
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12119
93.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8238
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18785
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28217
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23745
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4221
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4860
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3662
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4752
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4662
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3573
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5766
99.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5798
100.2 IPS |
