iPhone 16e
Geekbench AI Score
4496
Single Precision Score
7540
Half Precision Score
6014
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 08:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2036
378.7 IPS |
|
|
Image Classification (HP)
|
100% |
3289
611.7 IPS |
|
|
Image Classification (Q)
|
96% |
2247
419.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2800
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3240
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8917
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17868
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14764
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
97% |
3735
297.4 IPS |
|
|
Object Detection (Q)
|
94% |
2621
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
3529
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
6851
81.4 IPS |
|
|
Face Detection (Q)
|
100% |
3988
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7898
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13656
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9467
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20420
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36664
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29490
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5383
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7055
260.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6327
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6246
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3969
68.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6315
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6296
108.8 IPS |
