iPhone 16e
Geekbench AI Score
4382
Single Precision Score
33772
Half Precision Score
45532
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | February 17 2026 04:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1994
370.8 IPS |
|
|
Image Classification (HP)
|
100% |
15044
2.80 KIPS |
|
|
Image Classification (Q)
|
97% |
19994
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18110
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23647
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8550
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
150092
175.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294555
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
15647
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21812
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
40585
482.2 IPS |
|
|
Face Detection (Q)
|
100% |
50998
606.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7761
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94874
730.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
154836
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
19547
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
244270
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
295791
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5179
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52758
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80946
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6250
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6209
8.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3848
66.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9728
167.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10742
185.6 IPS |
