iPhone 16 Pro
Geekbench AI Score
4728
Single Precision Score
7857
Half Precision Score
6309
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 08:31 AM |
| Views | 1 |
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% |
2048
380.9 IPS |
|
|
Image Classification (HP)
|
100% |
3417
635.5 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3307
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9696
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18920
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15984
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2353
186.6 IPS |
|
|
Object Detection (HP)
|
97% |
3766
299.8 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
7225
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4140
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8287
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13781
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9725
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23222
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38452
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31386
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5721
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7250
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5157
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (HP)
|
99% |
6125
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6142
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4134
71.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7712
133.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7722
133.4 IPS |
