iPhone 14 Pro
Geekbench AI Score
3562
Single Precision Score
6083
Half Precision Score
4941
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 03:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.9 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2684
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7014
8.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
15166
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12991
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1590
126.1 IPS |
|
|
Object Detection (HP)
|
97% |
2920
232.5 IPS |
|
|
Object Detection (Q)
|
94% |
2086
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
6129
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3511
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6282
48.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12255
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8260
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18840
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28200
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23747
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4901
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3686
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2644
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4628
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4588
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5976
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5916
102.2 IPS |
