iPhone 14 Pro
Geekbench AI Score
1588
Single Precision Score
2692
Half Precision Score
2166
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 05:34 AM |
| Views | 2 |
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% |
601
111.7 IPS |
|
|
Image Classification (HP)
|
100% |
1065
198.1 IPS |
|
|
Image Classification (Q)
|
96% |
733
137.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
996
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1164
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2926
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
6375
7.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
5534
6.49 IPS |
|
|
Object Detection (SP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (HP)
|
97% |
1261
100.4 IPS |
|
|
Object Detection (Q)
|
94% |
902
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
1636
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
2782
33.1 IPS |
|
|
Face Detection (Q)
|
100% |
1485
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2703
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5206
40.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3617
28.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7991
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12449
16.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10268
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1907
70.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2224
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1653
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
1221
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (Q)
|
93% |
2106
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2779
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2791
48.2 IPS |
