iPhone 16 Pro
Geekbench AI Score
4487
Single Precision Score
7737
Half Precision Score
6140
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 05:04 AM |
| Views | 1 |
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% |
2010
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8762
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17969
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15193
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2134
169.2 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2656
211.7 IPS |
|
|
Face Detection (SP)
|
100% |
3513
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
7345
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4061
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7568
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14075
108.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9672
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23833
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37774
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30479
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5540
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6907
255.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6082
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5998
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6976
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6973
120.5 IPS |
