iPhone 16 Pro
Geekbench AI Score
4733
Single Precision Score
7888
Half Precision Score
6315
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:31 AM |
| Views | 2 |
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% |
2050
381.3 IPS |
|
|
Image Classification (HP)
|
100% |
3447
641.0 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2847
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3312
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9513
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18749
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15543
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
97% |
3743
298.0 IPS |
|
|
Object Detection (Q)
|
94% |
2659
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3773
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
7254
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4177
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8299
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13862
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9798
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23310
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38478
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31329
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5790
213.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7236
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3708
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6237
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6110
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7760
134.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7885
136.3 IPS |
