iPhone 16e
Geekbench AI Score
4596
Single Precision Score
5349
Half Precision Score
5006
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Numair-AIDROOS |
| Upload Date | April 02 2026 06:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
864
160.8 IPS |
|
|
Image Classification (HP)
|
100% |
959
178.3 IPS |
|
|
Image Classification (Q)
|
96% |
934
174.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3426
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3268
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10650
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11858
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11587
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
2052
162.8 IPS |
|
|
Object Detection (HP)
|
100% |
2755
218.5 IPS |
|
|
Object Detection (Q)
|
91% |
2317
185.2 IPS |
|
|
Face Detection (SP)
|
100% |
7163
85.1 IPS |
|
|
Face Detection (HP)
|
100% |
8389
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
7764
92.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10389
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11149
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10335
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24026
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26447
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26045
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5337
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5311
196.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4868
179.7 IPS |
|
|
Text Classification (SP)
|
99% |
7038
9.39 KIPS |
|
|
Text Classification (HP)
|
99% |
11055
14.8 KIPS |
|
|
Text Classification (Q)
|
93% |
10711
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1109
19.2 IPS |
