iPhone 14
Geekbench AI Score
3071
Single Precision Score
5437
Half Precision Score
4369
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 04:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
2357
438.3 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1973
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5840
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
12422
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10707
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
97% |
2599
206.9 IPS |
|
|
Object Detection (Q)
|
94% |
1823
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2497
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
5368
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
2988
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4989
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10252
79.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7057
55.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15725
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25623
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20628
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3331
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4188
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5385
93.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5392
93.2 IPS |
