iPhone 16e
Geekbench AI Score
4271
Single Precision Score
7224
Half Precision Score
5720
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | February 17 2026 03:54 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
3260
606.3 IPS |
|
|
Image Classification (Q)
|
96% |
2226
415.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2744
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3122
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8085
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
16262
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13764
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
97% |
3634
289.3 IPS |
|
|
Object Detection (Q)
|
94% |
2468
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
3362
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
6557
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3681
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7359
56.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
12829
99.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8840
69.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19318
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34171
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27380
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5032
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4789
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6259
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6226
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3786
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5871
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5982
103.4 IPS |
