iPhone 14
Geekbench AI Score
3478
Single Precision Score
3806
Half Precision Score
3798
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 27 2025 05:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1047
194.7 IPS |
|
|
Image Classification (HP)
|
100% |
1201
223.3 IPS |
|
|
Image Classification (Q)
|
96% |
1144
213.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2859
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2803
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11293
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10747
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12368
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (Q)
|
92% |
1129
90.1 IPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
4827
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
5135
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8411
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
7765
59.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8122
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18832
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23575
30.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22846
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3395
125.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3376
124.7 IPS |
|
|
Text Classification (SP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (HP)
|
99% |
4190
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4152
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
