iPhone 14 Pro
Geekbench AI Score
3319
Single Precision Score
6037
Half Precision Score
5033
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 11:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1346
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
2624
487.9 IPS |
|
|
Image Classification (Q)
|
96% |
1807
337.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2640
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5760
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
13874
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12566
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2913
231.9 IPS |
|
|
Object Detection (Q)
|
94% |
2096
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5901
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3425
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5811
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11482
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8025
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17367
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
25662
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
23515
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3839
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5203
192.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3896
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4814
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4812
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6799
117.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6861
118.6 IPS |
