iPhone 16e
Geekbench AI Score
4303
Single Precision Score
33508
Half Precision Score
45162
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 19 2026 02:47 PM |
| 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% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
14760
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18769
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18100
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23675
383.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7869
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
142007
165.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293721
344.3 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.6 IPS |
|
|
Object Detection (HP)
|
100% |
15531
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21407
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3372
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
41097
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
50908
604.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7383
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
94476
727.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
153607
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
18963
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244059
313.7 IPS |
|
|
Style Transfer (Q)
|
96% |
292989
378.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5110
188.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51402
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80227
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6313
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6208
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9850
169.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11073
191.4 IPS |
