iPhone 14 Pro
Geekbench AI Score
1595
Single Precision Score
2683
Half Precision Score
2171
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
600
111.7 IPS |
|
|
Image Classification (HP)
|
100% |
1077
200.4 IPS |
|
|
Image Classification (Q)
|
96% |
740
138.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1166
18.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2932
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
6427
7.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
5603
6.57 IPS |
|
|
Object Detection (SP)
|
100% |
651
51.7 IPS |
|
|
Object Detection (HP)
|
97% |
1232
98.1 IPS |
|
|
Object Detection (Q)
|
94% |
901
71.8 IPS |
|
|
Face Detection (SP)
|
100% |
1689
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (Q)
|
100% |
1503
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2673
20.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5120
39.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
3627
28.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8075
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12468
16.0 IPS |
|
|
Style Transfer (Q)
|
96% |
10240
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1866
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2249
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1651
61.0 IPS |
|
|
Text Classification (SP)
|
100% |
1224
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (Q)
|
93% |
2105
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1642
28.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2739
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2754
47.6 IPS |
