iPhone 16 Pro
Geekbench AI Score
4276
Single Precision Score
7425
Half Precision Score
5906
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 04 2025 01:55 PM |
| Views | 2 |
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% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
3296
613.0 IPS |
|
|
Image Classification (Q)
|
96% |
2220
414.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1888
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2878
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3307
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7742
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
16271
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13933
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (HP)
|
97% |
3693
294.0 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.5 IPS |
|
|
Face Detection (SP)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
7274
86.4 IPS |
|
|
Face Detection (Q)
|
100% |
3937
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7108
54.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13437
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9292
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22171
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35121
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28904
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5121
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6596
243.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4628
170.9 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5833
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5783
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3727
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6771
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6859
118.5 IPS |
