iPhone 16 Pro
Geekbench AI Score
4456
Single Precision Score
7713
Half Precision Score
6129
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 08:29 PM |
| Views | 1 |
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% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.7 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2921
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3375
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8637
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17728
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15046
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2088
165.7 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.3 IPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7470
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4121
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7502
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13990
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9636
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23075
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36526
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30078
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5451
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4873
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3419
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6074
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5978
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7046
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6992
120.8 IPS |
