iPhone 14 Pro
Geekbench AI Score
3331
Single Precision Score
4944
Half Precision Score
4258
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | tesme33 |
| Upload Date | September 11 2024 05:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1470
273.4 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.1 IPS |
|
|
Image Classification (Q)
|
96% |
1496
279.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1845
29.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6583
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
14761
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12698
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2274
181.0 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
2820
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
2920
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5636
43.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8701
67.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6569
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17767
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27015
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22670
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3967
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5166
190.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3724
137.5 IPS |
|
|
Text Classification (SP)
|
100% |
2592
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4411
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4359
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4566
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4575
79.1 IPS |
