iPhone 16 Pro
Geekbench AI Score
5878
Single Precision Score
6858
Half Precision Score
6243
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | December 27 2024 01:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3041
565.5 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.2 IPS |
|
|
Image Classification (Q)
|
97% |
2924
545.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3507
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4471
72.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4446
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15951
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16552
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15653
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
3302
261.9 IPS |
|
|
Object Detection (HP)
|
100% |
3578
283.8 IPS |
|
|
Object Detection (Q)
|
91% |
3202
255.9 IPS |
|
|
Face Detection (SP)
|
100% |
7981
94.8 IPS |
|
|
Face Detection (HP)
|
100% |
10909
129.6 IPS |
|
|
Face Detection (Q)
|
100% |
7325
87.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13627
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15201
117.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12835
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33673
43.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37988
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
36146
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8154
301.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8498
313.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7016
259.1 IPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6052
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6010
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
964
16.7 IPS |
