iPhone 14
Geekbench AI Score
3300
Single Precision Score
5761
Half Precision Score
4672
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 10:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
2371
441.0 IPS |
|
|
Image Classification (Q)
|
96% |
1629
304.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2451
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6530
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
14555
17.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
12312
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2725
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
1946
155.1 IPS |
|
|
Face Detection (SP)
|
100% |
2821
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5583
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3151
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5316
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10444
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7337
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17429
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28095
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22861
29.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3825
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4844
178.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3637
134.3 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4243
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4198
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6369
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6419
110.9 IPS |
