iPhone 16 Pro
Geekbench AI Score
4533
Single Precision Score
7770
Half Precision Score
6190
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | January 31 2025 02:56 AM |
| 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% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
3379
628.3 IPS |
|
|
Image Classification (Q)
|
96% |
2261
422.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8823
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17956
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15330
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (HP)
|
97% |
3837
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2685
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
3621
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7563
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4234
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7675
59.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14301
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9805
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24006
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37354
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30751
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5594
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6949
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4946
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5927
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5901
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7115
122.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7079
122.3 IPS |
