iPhone 16e
Geekbench AI Score
4402
Single Precision Score
7286
Half Precision Score
5839
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | TTV |
| Upload Date | March 09 2026 06:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone 16e |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2053
381.7 IPS |
|
|
Image Classification (HP)
|
100% |
3309
615.3 IPS |
|
|
Image Classification (Q)
|
96% |
2254
420.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2772
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3210
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8587
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
15786
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13939
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2237
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3642
289.9 IPS |
|
|
Object Detection (Q)
|
94% |
2503
199.5 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6692
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
3797
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7497
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12993
100.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8992
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19965
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35033
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28469
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5199
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4833
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6266
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6242
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3951
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6061
104.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6233
107.7 IPS |
