iPhone 16e
Geekbench AI Score
4353
Single Precision Score
33499
Half Precision Score
45193
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 08 2026 05:23 AM |
| Views | 5 |
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% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
14807
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
18777
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18067
292.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23659
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8267
9.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
146175
170.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292639
343.0 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.7 IPS |
|
|
Object Detection (HP)
|
100% |
15552
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21292
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
40250
478.3 IPS |
|
|
Face Detection (Q)
|
100% |
52352
622.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7618
58.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94574
728.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
153022
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
19437
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
243850
313.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297146
383.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5116
188.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51208
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80724
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6253
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6235
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3875
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9847
169.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10718
185.2 IPS |
