iPhone 16e
Geekbench AI Score
4334
Single Precision Score
33614
Half Precision Score
45050
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | TTV |
| Upload Date | March 09 2026 06:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
14779
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18765
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18045
292.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23659
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8179
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
144637
168.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
294557
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
15667
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21310
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3444
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
40711
483.7 IPS |
|
|
Face Detection (Q)
|
100% |
50754
603.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7399
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94302
726.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
150775
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
19353
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
243418
312.9 IPS |
|
|
Style Transfer (Q)
|
96% |
292754
377.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52827
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80234
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3690
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6299
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6236
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3849
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9800
168.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11023
190.5 IPS |
