iPhone 14
Geekbench AI Score
3339
Single Precision Score
5745
Half Precision Score
4659
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 05:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1365
253.8 IPS |
|
|
Image Classification (HP)
|
100% |
2353
437.7 IPS |
|
|
Image Classification (Q)
|
96% |
1633
304.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2517
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6636
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
14376
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12185
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2761
219.8 IPS |
|
|
Object Detection (Q)
|
94% |
1949
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5851
69.5 IPS |
|
|
Face Detection (Q)
|
100% |
3299
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5582
43.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11265
87.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7721
60.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17833
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27107
34.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22569
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3912
144.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4726
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3517
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4184
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4167
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5851
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5872
101.5 IPS |
