iPhone 14
Geekbench AI Score
3339
Single Precision Score
5830
Half Precision Score
4729
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 15 2025 11:21 AM |
| 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% |
1349
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2374
441.4 IPS |
|
|
Image Classification (Q)
|
96% |
1637
305.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2457
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6608
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
14765
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12465
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1469
116.5 IPS |
|
|
Object Detection (HP)
|
97% |
2745
218.5 IPS |
|
|
Object Detection (Q)
|
94% |
1954
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5675
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3244
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5329
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10644
82.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7430
58.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17753
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28384
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23181
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4910
181.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3662
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2489
3.32 KIPS |
|
|
Text Classification (HP)
|
100% |
4355
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4306
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6460
111.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6487
112.1 IPS |
