iPhone 16e
Geekbench AI Score
4708
Single Precision Score
5788
Half Precision Score
5052
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Numair-AIDROOS |
| Upload Date | March 26 2026 04:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
946
175.9 IPS |
|
|
Image Classification (HP)
|
100% |
922
171.4 IPS |
|
|
Image Classification (Q)
|
96% |
964
180.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3295
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3343
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10656
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11891
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11693
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
2769
219.6 IPS |
|
|
Object Detection (Q)
|
91% |
2669
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
6839
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
7979
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
7443
88.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10046
77.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10526
81.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
10211
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24096
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26706
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
25937
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5381
198.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5413
199.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4793
177.0 IPS |
|
|
Text Classification (SP)
|
99% |
6965
9.30 KIPS |
|
|
Text Classification (HP)
|
99% |
10590
14.1 KIPS |
|
|
Text Classification (Q)
|
93% |
10573
14.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
1008
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3235
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1105
19.1 IPS |
