iPhone 16 Pro
Geekbench AI Score
4523
Single Precision Score
7659
Half Precision Score
6085
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
3425
636.9 IPS |
|
|
Image Classification (Q)
|
96% |
2305
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2821
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8806
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17315
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14685
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
97% |
3663
291.6 IPS |
|
|
Object Detection (Q)
|
94% |
2496
198.9 IPS |
|
|
Face Detection (SP)
|
100% |
3657
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
7035
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
3972
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7832
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13038
100.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9395
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21380
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36573
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29087
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5341
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7118
262.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5016
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6314
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6238
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4140
71.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7525
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7484
129.3 IPS |
