iPhone 16 Pro
Geekbench AI Score
5834
Single Precision Score
7013
Half Precision Score
6719
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 04:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2823
524.9 IPS |
|
|
Image Classification (HP)
|
100% |
2698
501.7 IPS |
|
|
Image Classification (Q)
|
96% |
3135
585.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4250
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4838
78.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4689
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15043
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17638
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16941
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3064
243.0 IPS |
|
|
Object Detection (HP)
|
100% |
3473
275.5 IPS |
|
|
Object Detection (Q)
|
92% |
3154
251.7 IPS |
|
|
Face Detection (SP)
|
100% |
7282
86.5 IPS |
|
|
Face Detection (HP)
|
100% |
10596
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
8292
98.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13049
100.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15663
120.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
14441
112.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31502
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39679
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38731
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7569
279.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8622
318.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7525
277.9 IPS |
|
|
Text Classification (SP)
|
100% |
3697
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6095
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6243
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1096
18.9 IPS |
