iPhone 16e
Geekbench AI Score
4045
Single Precision Score
4531
Half Precision Score
4178
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
852
158.4 IPS |
|
|
Image Classification (HP)
|
100% |
816
151.7 IPS |
|
|
Image Classification (Q)
|
96% |
833
155.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3065
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3326
53.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3227
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10840
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11286
13.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11225
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
1980
157.1 IPS |
|
|
Object Detection (Q)
|
92% |
1393
111.2 IPS |
|
|
Face Detection (SP)
|
100% |
5881
69.9 IPS |
|
|
Face Detection (HP)
|
100% |
7799
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
6315
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10157
78.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10718
82.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9782
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23815
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25823
33.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25446
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5016
185.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4574
168.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3983
147.1 IPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
5984
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5944
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1038
17.9 IPS |
