iPhone 16 Pro
Geekbench AI Score
4592
Single Precision Score
7721
Half Precision Score
6138
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 03:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
3454
642.4 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3297
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9054
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17726
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14855
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2627
209.4 IPS |
|
|
Face Detection (SP)
|
100% |
3684
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7095
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
3991
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7937
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13466
104.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9320
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21179
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36255
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29147
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6123
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6101
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7686
132.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7727
133.5 IPS |
