iPhone 16e
Geekbench AI Score
2239
Single Precision Score
18854
Half Precision Score
24132
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 03 2026 08:36 PM |
| Views | 5 |
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% |
1040
193.4 IPS |
|
|
Image Classification (HP)
|
100% |
8036
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
10650
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
818
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
10265
166.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12948
209.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4126
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
75764
88.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
155380
182.1 IPS |
|
|
Object Detection (SP)
|
100% |
1190
94.4 IPS |
|
|
Object Detection (HP)
|
100% |
8089
641.6 IPS |
|
|
Object Detection (Q)
|
91% |
12003
959.1 IPS |
|
|
Face Detection (SP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
20542
244.1 IPS |
|
|
Face Detection (Q)
|
100% |
27727
329.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3731
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
51930
400.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
92213
721.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10283
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134339
172.7 IPS |
|
|
Style Transfer (Q)
|
96% |
165584
213.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3243
119.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29481
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40025
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
2041
2.72 KIPS |
|
|
Text Classification (HP)
|
99% |
3358
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3292
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1729
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7915
136.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4669
80.7 IPS |
