iPhone 16e
Geekbench AI Score
4155
Single Precision Score
33356
Half Precision Score
44924
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | vassourabfc |
| Upload Date | February 05 2026 01:29 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2024
376.4 IPS |
|
|
Image Classification (HP)
|
100% |
14731
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19080
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17978
291.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23582
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7442
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
133558
155.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
287034
336.4 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
15943
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
21397
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3259
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
41141
488.8 IPS |
|
|
Face Detection (Q)
|
100% |
50383
598.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7148
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
94504
728.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
150234
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
17628
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244088
313.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295041
380.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4616
170.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51112
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79368
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6340
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6186
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9833
169.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11050
191.0 IPS |
