iPhone 16 Pro
Geekbench AI Score
4638
Single Precision Score
7846
Half Precision Score
6266
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vincentlee |
| Upload Date | March 12 2025 01:30 PM |
| Views | 12 |
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% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.1 IPS |
|
|
Image Classification (Q)
|
96% |
2289
427.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9356
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18905
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15841
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2191
173.8 IPS |
|
|
Object Detection (HP)
|
97% |
3871
308.2 IPS |
|
|
Object Detection (Q)
|
94% |
2703
215.5 IPS |
|
|
Face Detection (SP)
|
100% |
3688
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
7680
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4302
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8026
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14414
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10007
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24786
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37912
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31242
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5777
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6973
257.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4992
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5893
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5887
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3839
66.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7104
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7154
123.6 IPS |
