iPhone 16e
Geekbench AI Score
4178
Single Precision Score
6946
Half Precision Score
5572
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | vassourabfc |
| Upload Date | February 05 2026 01:22 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.7 IPS |
|
|
Image Classification (Q)
|
96% |
2236
417.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2754
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3121
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7989
9.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15254
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13232
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (HP)
|
97% |
3438
273.7 IPS |
|
|
Object Detection (Q)
|
94% |
2395
190.9 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6200
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
3530
41.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6978
53.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
12219
94.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
8442
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18033
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32652
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26398
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4776
176.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6735
248.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4570
168.8 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6189
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6159
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
5347
92.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5900
102.0 IPS |
