iPhone 14
Geekbench AI Score
3324
Single Precision Score
5812
Half Precision Score
4716
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 12:39 PM |
| Views | 4 |
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% |
1319
245.4 IPS |
|
|
Image Classification (HP)
|
100% |
2375
441.7 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6601
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
14645
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12274
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1456
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2747
218.7 IPS |
|
|
Object Detection (Q)
|
94% |
1954
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5684
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3199
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5439
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10626
82.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7392
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17616
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28170
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23213
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3906
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3664
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
2486
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4332
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4357
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3764
64.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6463
111.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6454
111.5 IPS |
