iPhone 14
Geekbench AI Score
3189
Single Precision Score
5451
Half Precision Score
4439
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 04:04 AM |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2442
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6121
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
13432
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11399
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
97% |
2686
213.8 IPS |
|
|
Object Detection (Q)
|
94% |
1915
152.6 IPS |
|
|
Face Detection (SP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5585
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3115
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5321
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10947
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7418
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17234
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26528
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
21745
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3423
126.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3558
131.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2915
107.6 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4210
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4165
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5516
95.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5570
96.3 IPS |
