iPhone 16e
Geekbench AI Score
4205
Single Precision Score
33219
Half Precision Score
45038
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ___ |
| Upload Date | March 09 2026 07:58 AM |
| Views | 17 |
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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
13893
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
18870
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18071
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23478
380.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7821
9.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
139022
162.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
277376
325.1 IPS |
|
|
Object Detection (SP)
|
100% |
2205
174.9 IPS |
|
|
Object Detection (HP)
|
100% |
15752
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21345
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
40358
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
52486
623.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7232
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94135
725.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
149826
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
18415
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
242647
311.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297637
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4768
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52187
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80914
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6293
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6199
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9832
169.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11153
192.7 IPS |
