iPhone 14 Pro
Geekbench AI Score
3526
Single Precision Score
6037
Half Precision Score
4903
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 09:30 AM |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
2492
463.4 IPS |
|
|
Image Classification (Q)
|
96% |
1725
322.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2681
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7101
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15249
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13046
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1588
126.0 IPS |
|
|
Object Detection (HP)
|
97% |
2913
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2053
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6075
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6228
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12152
93.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8246
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18932
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28203
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23754
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4242
156.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3665
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2558
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4545
6.07 KIPS |
|
|
Text Classification (Q)
|
93% |
4451
5.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5842
100.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5818
100.5 IPS |
