iPhone 14
Geekbench AI Score
1524
Single Precision Score
2353
Half Precision Score
2099
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | July 01 2025 07:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
957
178.1 IPS |
|
|
Image Classification (HP)
|
100% |
1276
237.2 IPS |
|
|
Image Classification (Q)
|
96% |
841
157.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1263
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2095
2.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3771
4.40 IPS |
|
|
Pose Estimation (Q)
|
95% |
4127
4.84 IPS |
|
|
Object Detection (SP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (HP)
|
97% |
1022
81.4 IPS |
|
|
Object Detection (Q)
|
94% |
747
59.5 IPS |
|
|
Face Detection (SP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (Q)
|
100% |
1246
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2565
19.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5411
41.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
3691
28.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7621
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
10279
13.2 IPS |
|
|
Style Transfer (Q)
|
96% |
9951
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1651
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1419
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
1869
2.49 KIPS |
|
|
Text Classification (Q)
|
93% |
2039
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1665
28.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3836
66.3 IPS |
