iPhone 16e
Geekbench AI Score
4092
Single Precision Score
4519
Half Precision Score
4319
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | vassourabfc |
| Upload Date | February 05 2026 01:25 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
879
163.5 IPS |
|
|
Image Classification (HP)
|
100% |
835
155.3 IPS |
|
|
Image Classification (Q)
|
96% |
868
162.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3199
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3384
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3255
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10663
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11886
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11570
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1984
157.4 IPS |
|
|
Object Detection (HP)
|
100% |
2017
160.0 IPS |
|
|
Object Detection (Q)
|
92% |
1825
145.7 IPS |
|
|
Face Detection (SP)
|
100% |
6435
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
7373
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
6009
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9876
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10392
80.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9624
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23923
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26431
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26092
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4382
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3816
140.9 IPS |
|
|
Text Classification (SP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6181
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6158
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
905
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1069
18.5 IPS |
