iPhone 14 Pro
Geekbench AI Score
3198
Single Precision Score
3622
Half Precision Score
3248
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 01:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
727
135.2 IPS |
|
|
Image Classification (HP)
|
100% |
1047
194.7 IPS |
|
|
Image Classification (Q)
|
97% |
893
166.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2549
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11733
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12406
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11298
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1470
116.6 IPS |
|
|
Object Detection (HP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (Q)
|
91% |
1104
88.2 IPS |
|
|
Face Detection (SP)
|
100% |
5412
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
6267
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
4177
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9013
69.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7447
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20933
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23378
30.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21823
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3617
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3464
127.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3836
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
2659
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4609
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4726
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
409
7.05 IPS |
|
|
Machine Translation (HP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.49 IPS |
