iPhone 16e
Geekbench AI Score
4125
Single Precision Score
4481
Half Precision Score
4094
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | February 17 2026 03:57 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
948
176.4 IPS |
|
|
Image Classification (HP)
|
100% |
782
145.4 IPS |
|
|
Image Classification (Q)
|
96% |
764
142.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3177
51.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3362
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3216
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10633
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11870
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
9227
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1964
155.8 IPS |
|
|
Object Detection (HP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (Q)
|
92% |
1803
143.9 IPS |
|
|
Face Detection (SP)
|
100% |
6157
73.2 IPS |
|
|
Face Detection (HP)
|
100% |
7387
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
5963
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9748
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10271
79.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9273
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23770
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26262
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25545
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4767
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4419
163.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3569
131.8 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6266
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6168
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1043
18.0 IPS |
