iPhone 16e
Geekbench AI Score
4443
Single Precision Score
4985
Half Precision Score
4760
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 09:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
914
170.0 IPS |
|
|
Image Classification (HP)
|
100% |
944
175.5 IPS |
|
|
Image Classification (Q)
|
96% |
925
172.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3301
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3373
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3274
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10642
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11843
13.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11523
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2717
215.5 IPS |
|
|
Object Detection (HP)
|
100% |
2742
217.5 IPS |
|
|
Object Detection (Q)
|
91% |
2652
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
6609
78.5 IPS |
|
|
Face Detection (HP)
|
100% |
7967
94.7 IPS |
|
|
Face Detection (Q)
|
100% |
7512
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9881
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10804
83.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10223
80.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24075
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26693
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26019
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5369
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4762
175.9 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6295
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6240
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1088
18.8 IPS |
