iPhone 16 Pro
Geekbench AI Score
4461
Single Precision Score
7701
Half Precision Score
6132
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | February 16 2025 03:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
2022
376.0 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.3 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2908
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3356
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8521
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
17491
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15068
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2121
168.2 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7491
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4181
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7552
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14091
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9697
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23374
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36909
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30263
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5409
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6802
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4841
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5970
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5816
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3806
65.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7045
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7039
121.7 IPS |
