iPhone 16
Geekbench AI Score
4359
Single Precision Score
7316
Half Precision Score
5812
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sampo81 |
| Upload Date | November 04 2025 05:46 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
3267
607.6 IPS |
|
|
Image Classification (Q)
|
96% |
2232
416.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1749
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2745
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3151
51.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8313
9.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
16418
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13723
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2248
178.3 IPS |
|
|
Object Detection (HP)
|
97% |
3674
292.5 IPS |
|
|
Object Detection (Q)
|
94% |
2554
203.5 IPS |
|
|
Face Detection (SP)
|
100% |
3481
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6627
78.7 IPS |
|
|
Face Detection (Q)
|
100% |
3808
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7592
58.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13013
100.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8936
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19630
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34120
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28037
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7077
261.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4890
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6279
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6221
8.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3870
66.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6211
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6151
106.3 IPS |
