iPhone 16 Pro
Geekbench AI Score
4533
Single Precision Score
7743
Half Precision Score
6163
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jwchess |
| Upload Date | January 28 2025 02:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1975
367.2 IPS |
|
|
Image Classification (HP)
|
100% |
3351
623.2 IPS |
|
|
Image Classification (Q)
|
96% |
2252
420.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3014
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9101
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18455
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15742
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2123
168.4 IPS |
|
|
Object Detection (HP)
|
97% |
3742
297.9 IPS |
|
|
Object Detection (Q)
|
94% |
2621
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
3536
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
7428
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4183
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7788
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14096
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9766
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24294
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37342
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30601
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5736
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6912
255.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4893
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5795
7.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7097
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7013
121.2 IPS |
