iPhone 16
Geekbench AI Score
4469
Single Precision Score
33714
Half Precision Score
45569
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 07 2025 03:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone 16 |
| Model ID | iPhone17,3 |
| Motherboard | D47AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
14741
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
19092
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18131
293.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23602
382.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8576
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
150908
176.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
294409
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (HP)
|
100% |
15679
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21481
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3499
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
40051
475.9 IPS |
|
|
Face Detection (Q)
|
100% |
52300
621.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7955
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
94579
728.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
154081
1.20 KIPS |
|
|
Style Transfer (SP)
|
100% |
20554
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245177
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
295585
381.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53040
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83280
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6272
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6298
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9713
167.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10846
187.4 IPS |
