iPhone 14
Geekbench AI Score
3278
Single Precision Score
5657
Half Precision Score
4567
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 03:23 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
250.8 IPS |
|
|
Image Classification (HP)
|
100% |
2346
436.4 IPS |
|
|
Image Classification (Q)
|
96% |
1625
303.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1336
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2513
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6402
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13815
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11639
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2745
218.6 IPS |
|
|
Object Detection (Q)
|
94% |
1924
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5731
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
3176
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5411
41.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11222
86.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7596
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17425
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26695
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22102
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3918
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4676
172.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3480
128.5 IPS |
|
|
Text Classification (SP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4110
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4079
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5659
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5711
98.7 IPS |
