iPhone 16e
Geekbench AI Score
4564
Single Precision Score
5677
Half Precision Score
4880
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | GKBCH |
| Upload Date | April 06 2026 06:21 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
937
174.2 IPS |
|
|
Image Classification (HP)
|
100% |
859
159.8 IPS |
|
|
Image Classification (Q)
|
96% |
924
172.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3150
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3407
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3254
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10623
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11887
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11518
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (HP)
|
100% |
2794
221.6 IPS |
|
|
Object Detection (Q)
|
91% |
2649
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
6658
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
8229
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
7276
86.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9854
75.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10777
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10164
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24005
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26659
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
25834
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5380
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5422
200.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4796
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
5348
7.14 KIPS |
|
|
Text Classification (HP)
|
99% |
8519
11.4 KIPS |
|
|
Text Classification (Q)
|
93% |
8450
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3277
56.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1079
18.6 IPS |
