iPhone 14 Pro
Geekbench AI Score
2014
Single Precision Score
4158
Half Precision Score
3804
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 04:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1700
316.2 IPS |
|
|
Image Classification (HP)
|
100% |
1194
222.1 IPS |
|
|
Image Classification (Q)
|
97% |
1467
273.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2375
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2501
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11746
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12321
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11482
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1932
153.2 IPS |
|
|
Object Detection (HP)
|
100% |
1898
150.5 IPS |
|
|
Object Detection (Q)
|
91% |
1605
128.3 IPS |
|
|
Face Detection (SP)
|
100% |
5298
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
4095
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8463
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8827
68.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7397
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20611
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23516
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22152
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4905
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3793
140.1 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4701
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4705
6.31 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
98% |
785
13.6 IPS |
