iPhone 14 Pro
Geekbench AI Score
3295
Single Precision Score
6161
Half Precision Score
5005
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 08:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1318
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
2613
485.9 IPS |
|
|
Image Classification (Q)
|
96% |
1810
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5761
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
14337
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12161
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
97% |
2930
233.3 IPS |
|
|
Object Detection (Q)
|
94% |
2090
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5953
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3341
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5575
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11530
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7979
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17486
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29016
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23937
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5118
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3887
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
2785
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4901
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4878
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6884
118.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6827
118.0 IPS |
