iPhone 14
Geekbench AI Score
3094
Single Precision Score
5503
Half Precision Score
4419
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 27 2025 01:27 PM |
| Views | 4 |
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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
2353
437.7 IPS |
|
|
Image Classification (Q)
|
96% |
1611
300.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1910
31.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2295
37.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5496
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
12854
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10692
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (HP)
|
97% |
2533
201.6 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5234
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
2942
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5026
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10192
78.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7038
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15775
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26305
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21274
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3506
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4300
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4333
5.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3510
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6017
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6003
103.7 IPS |
