iPhone 16e
Geekbench AI Score
4521
Single Precision Score
35389
Half Precision Score
49079
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Numair-AIDROOS |
| Upload Date | March 26 2026 04:32 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2001
372.2 IPS |
|
|
Image Classification (HP)
|
100% |
14514
2.70 KIPS |
|
|
Image Classification (Q)
|
97% |
20140
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18064
292.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24315
394.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6867
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
150583
175.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293819
344.4 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
15489
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
21832
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
41350
491.3 IPS |
|
|
Face Detection (Q)
|
100% |
61059
725.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7084
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95183
733.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
151739
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
17841
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245154
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296365
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4578
169.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51011
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79665
2.94 KIPS |
|
|
Text Classification (SP)
|
99% |
7022
9.37 KIPS |
|
|
Text Classification (HP)
|
99% |
10617
14.2 KIPS |
|
|
Text Classification (Q)
|
92% |
10948
14.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
3878
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9644
166.1 IPS |
|
|
Machine Translation (Q)
|
98% |
10779
186.3 IPS |
