iPhone 16 Pro
Geekbench AI Score
4566
Single Precision Score
7693
Half Precision Score
6128
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 14 2025 11:02 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
3446
640.8 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3236
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8595
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16984
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14684
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2276
180.6 IPS |
|
|
Object Detection (HP)
|
97% |
3659
291.3 IPS |
|
|
Object Detection (Q)
|
94% |
2607
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
3698
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7024
83.5 IPS |
|
|
Face Detection (Q)
|
100% |
3980
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7901
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13511
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9472
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21695
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35942
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29912
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5414
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6267
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6158
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7636
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7460
128.9 IPS |
