iPhone 16 Pro
Geekbench AI Score
4676
Single Precision Score
7832
Half Precision Score
6271
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 01:56 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
3452
642.0 IPS |
|
|
Image Classification (Q)
|
96% |
2331
435.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2825
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3296
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9336
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18350
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15550
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
3780
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
7217
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4113
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8201
63.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13828
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9722
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22849
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38055
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31246
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5108
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6197
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6153
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7684
132.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7579
131.0 IPS |
