iPhone 16 Pro
Geekbench AI Score
5864
Single Precision Score
6689
Half Precision Score
6156
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | February 06 2025 01:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2742
509.9 IPS |
|
|
Image Classification (HP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (Q)
|
97% |
2761
515.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3622
58.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4480
72.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4452
72.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15899
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
16453
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15773
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3249
257.7 IPS |
|
|
Object Detection (HP)
|
100% |
3729
295.7 IPS |
|
|
Object Detection (Q)
|
91% |
2951
235.8 IPS |
|
|
Face Detection (SP)
|
100% |
8367
99.4 IPS |
|
|
Face Detection (HP)
|
100% |
11289
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
7855
93.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14213
109.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
15517
119.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12492
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33065
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38482
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
37523
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8018
296.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8414
310.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6967
257.3 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
870
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
911
15.8 IPS |
