iPhone 16e
Geekbench AI Score
4060
Single Precision Score
4424
Half Precision Score
4343
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 08:30 AM |
| Views | 3 |
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% |
903
167.8 IPS |
|
|
Image Classification (HP)
|
100% |
835
155.4 IPS |
|
|
Image Classification (Q)
|
96% |
832
155.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2993
48.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3266
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10675
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11917
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11618
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
1883
149.4 IPS |
|
|
Object Detection (Q)
|
92% |
1927
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
6388
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
7398
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
6009
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9907
76.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10405
80.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9477
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23975
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26450
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26094
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4239
156.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3409
125.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4089
151.0 IPS |
|
|
Text Classification (SP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6232
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6117
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1057
18.3 IPS |
