iPhone 16e
Geekbench AI Score
4457
Single Precision Score
7424
Half Precision Score
5975
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 08:31 AM |
| Views | 2 |
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% |
2031
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
3266
607.5 IPS |
|
|
Image Classification (Q)
|
96% |
2222
414.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2753
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3199
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8600
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16807
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14527
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
97% |
3721
296.2 IPS |
|
|
Object Detection (Q)
|
94% |
2598
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3468
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
6756
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3926
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7807
60.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13418
103.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9370
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20402
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36163
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29275
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5408
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7008
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6309
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6275
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3897
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6243
107.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6447
111.4 IPS |
