iPhone 16 Pro
Geekbench AI Score
4566
Single Precision Score
7679
Half Precision Score
6152
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 07:42 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% |
2010
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
3443
640.3 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3268
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9048
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17613
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14957
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
97% |
3713
295.6 IPS |
|
|
Object Detection (Q)
|
94% |
2629
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
7153
85.0 IPS |
|
|
Face Detection (Q)
|
100% |
4069
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8067
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13672
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9543
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21682
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36358
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29685
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5327
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7125
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5054
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6025
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6037
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7533
130.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7442
128.6 IPS |
