iPhone 16 Pro
Geekbench AI Score
4592
Single Precision Score
7802
Half Precision Score
6245
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | danielmcfarland |
| Upload Date | December 28 2024 09:25 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
3370
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2290
427.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2956
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8996
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17738
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15447
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2108
167.2 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
3692
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7620
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8013
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14519
112.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10075
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24673
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37839
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31077
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5635
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4963
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5990
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5913
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3846
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7109
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7142
123.4 IPS |
