iPhone 14 Pro
Geekbench AI Score
3510
Single Precision Score
6032
Half Precision Score
4902
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
2490
463.0 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2240
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2661
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6387
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
14576
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12726
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2061
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3098
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3486
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6163
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12158
94.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8311
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18531
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28089
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23681
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4164
153.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4914
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3666
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4483
5.98 KIPS |
|
|
Text Classification (Q)
|
93% |
4456
5.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3519
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5911
102.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5832
100.8 IPS |
