iPhone 16
Geekbench AI Score
4321
Single Precision Score
7303
Half Precision Score
5788
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | September 16 2025 01:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1950
362.7 IPS |
|
|
Image Classification (HP)
|
100% |
3234
601.4 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1745
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2731
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8215
9.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
15972
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13942
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
97% |
3678
292.8 IPS |
|
|
Object Detection (Q)
|
94% |
2470
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
3401
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
6589
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3741
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7425
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12856
99.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8970
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19574
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34953
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28309
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7067
261.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4838
178.6 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6293
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6212
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6320
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6255
108.1 IPS |
