iPhone 14
Geekbench AI Score
3346
Single Precision Score
5832
Half Precision Score
4728
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 11:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 14 |
| Model ID | iPhone14,7 |
| Motherboard | D27AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (Q)
|
96% |
1635
305.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2455
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6668
7.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
14768
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12455
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2742
218.3 IPS |
|
|
Object Detection (Q)
|
94% |
1953
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5679
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3235
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5448
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10623
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7410
57.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17809
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28265
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23258
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3892
143.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4923
181.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3658
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4401
5.87 KIPS |
|
|
Text Classification (Q)
|
93% |
4344
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6435
111.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6465
111.7 IPS |
