iPhone 16 Pro
Geekbench AI Score
4611
Single Precision Score
7802
Half Precision Score
6240
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 19 2025 12:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
3356
624.1 IPS |
|
|
Image Classification (Q)
|
96% |
2284
426.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9089
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18425
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15641
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2164
171.7 IPS |
|
|
Object Detection (HP)
|
97% |
3856
307.0 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3677
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
7620
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4298
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7925
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14482
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10025
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24458
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37593
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31139
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5780
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6899
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5835
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5802
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7142
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7079
122.3 IPS |
