iPhone 16 Pro
Geekbench AI Score
4644
Single Precision Score
7784
Half Precision Score
6255
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dirkjumpertz |
| Upload Date | November 05 2025 11:09 PM |
| Views | 7 |
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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3463
644.0 IPS |
|
|
Image Classification (Q)
|
96% |
2343
437.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2810
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3297
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9390
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18210
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15385
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2299
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3704
294.8 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
7173
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
4107
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8235
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13788
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9671
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22478
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37288
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31021
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5573
205.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7140
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6184
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6176
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4096
70.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7646
132.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7492
129.5 IPS |
