iPhone 14
Geekbench AI Score
3315
Single Precision Score
5706
Half Precision Score
4625
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 11:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2509
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6565
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
14172
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11934
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2753
219.2 IPS |
|
|
Object Detection (Q)
|
94% |
1948
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
2817
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5807
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3263
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5480
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11229
86.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7643
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17760
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27089
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22400
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3912
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4662
172.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3498
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4140
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4161
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3521
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5745
99.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5817
100.5 IPS |
