iPhone 16 Pro
Geekbench AI Score
4671
Single Precision Score
7839
Half Precision Score
6303
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 15 2025 08:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2012
374.2 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.8 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2945
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3393
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9526
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18884
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16256
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
97% |
3855
306.9 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3725
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7685
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4326
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8063
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14555
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10119
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25180
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37974
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31288
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5848
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6928
255.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4989
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5834
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7104
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7148
123.5 IPS |
