iPhone 16e
Geekbench AI Score
4398
Single Precision Score
5007
Half Precision Score
4786
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | TTV |
| Upload Date | March 09 2026 06:55 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
977
181.6 IPS |
|
|
Image Classification (HP)
|
100% |
963
179.1 IPS |
|
|
Image Classification (Q)
|
96% |
944
176.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3207
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3413
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3233
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10642
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11871
13.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11521
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
100% |
2794
221.6 IPS |
|
|
Object Detection (Q)
|
91% |
2658
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
6696
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
8013
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
7734
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9942
76.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10468
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10121
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24137
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26791
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
26005
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5374
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5380
198.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4849
179.1 IPS |
|
|
Text Classification (SP)
|
100% |
3682
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6208
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6185
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
974
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1106
19.1 IPS |
