iPhone 14
Geekbench AI Score
3504
Single Precision Score
3864
Half Precision Score
3793
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 30 2025 09:51 PM |
| Views | 49 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1122
208.6 IPS |
|
|
Image Classification (HP)
|
100% |
1223
227.4 IPS |
|
|
Image Classification (Q)
|
96% |
1108
206.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2716
44.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11304
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
12652
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12142
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (Q)
|
92% |
1252
99.9 IPS |
|
|
Face Detection (SP)
|
100% |
4358
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (Q)
|
100% |
4836
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8258
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9044
69.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8118
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18894
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22815
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23466
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3697
136.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3318
122.5 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4360
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4259
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
869
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1035
17.9 IPS |
