iPhone 14
Geekbench AI Score
3315
Single Precision Score
5816
Half Precision Score
4700
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 12:36 PM |
| Views | 1 |
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% |
1322
245.8 IPS |
|
|
Image Classification (HP)
|
100% |
2376
441.8 IPS |
|
|
Image Classification (Q)
|
96% |
1631
304.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2461
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6569
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14480
16.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12212
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
97% |
2747
218.7 IPS |
|
|
Object Detection (Q)
|
94% |
1947
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5665
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3201
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5309
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10615
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7396
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17611
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28158
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23022
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3919
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4926
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3648
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2473
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
4388
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4324
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6408
110.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6423
111.0 IPS |
