iPhone 16e
Geekbench AI Score
4521
Single Precision Score
33907
Half Precision Score
45461
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 05 2026 09:16 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2038
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
15064
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
18877
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18116
293.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23525
381.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9002
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153055
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294246
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
15989
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
21918
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3526
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
40736
484.0 IPS |
|
|
Face Detection (Q)
|
100% |
52940
629.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8027
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94278
726.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
153546
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20320
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
245483
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296469
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5465
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52037
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80891
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6294
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6286
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3948
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9741
167.8 IPS |
|
|
Machine Translation (Q)
|
98% |
10744
185.7 IPS |
