iPhone 16e
Geekbench AI Score
4526
Single Precision Score
7712
Half Precision Score
6149
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Numair-AIDROOS |
| Upload Date | March 26 2026 04:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3272
608.4 IPS |
|
|
Image Classification (Q)
|
96% |
2231
416.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3208
52.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7101
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
15646
18.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14029
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
97% |
3661
291.4 IPS |
|
|
Object Detection (Q)
|
94% |
2553
203.5 IPS |
|
|
Face Detection (SP)
|
100% |
3698
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
6728
79.9 IPS |
|
|
Face Detection (Q)
|
100% |
3795
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7053
54.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13018
100.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9043
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18606
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35575
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
27786
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4502
166.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7034
259.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4881
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
6989
9.33 KIPS |
|
|
Text Classification (HP)
|
100% |
10526
14.0 KIPS |
|
|
Text Classification (Q)
|
93% |
10622
14.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6151
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6102
105.4 IPS |
