iPhone 16e
Geekbench AI Score
4246
Single Precision Score
33586
Half Precision Score
45317
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1962
364.8 IPS |
|
|
Image Classification (HP)
|
100% |
14625
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
18897
3.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1666
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18034
292.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23556
381.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8080
9.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
148008
172.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293645
344.2 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.5 IPS |
|
|
Object Detection (HP)
|
100% |
15519
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
21204
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3284
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
40608
482.5 IPS |
|
|
Face Detection (Q)
|
100% |
55320
657.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7441
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94519
728.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
153445
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
18494
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
245319
315.4 IPS |
|
|
Style Transfer (Q)
|
96% |
294904
380.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4983
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52913
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79911
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6234
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6221
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3794
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
9707
167.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10591
183.0 IPS |
