iPhone 14
Geekbench AI Score
3101
Single Precision Score
5526
Half Precision Score
4428
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 25 2025 11:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
2356
438.1 IPS |
|
|
Image Classification (Q)
|
96% |
1627
303.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2374
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5765
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
13316
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11268
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
97% |
2623
208.8 IPS |
|
|
Object Detection (Q)
|
94% |
1795
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5177
61.5 IPS |
|
|
Face Detection (Q)
|
100% |
2923
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4760
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10029
77.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6646
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15877
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26147
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21188
27.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4779
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3543
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4248
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4225
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3507
60.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6034
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6031
104.2 IPS |
