iPhone 16 Pro
Geekbench AI Score
5892
Single Precision Score
6817
Half Precision Score
6240
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | March 13 2025 01:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
3034
564.3 IPS |
|
|
Image Classification (HP)
|
100% |
2618
486.9 IPS |
|
|
Image Classification (Q)
|
97% |
2888
539.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3501
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4467
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4444
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15854
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16523
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15818
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
3249
257.7 IPS |
|
|
Object Detection (HP)
|
100% |
3527
279.8 IPS |
|
|
Object Detection (Q)
|
91% |
3154
252.0 IPS |
|
|
Face Detection (SP)
|
100% |
8315
98.8 IPS |
|
|
Face Detection (HP)
|
100% |
11238
133.5 IPS |
|
|
Face Detection (Q)
|
100% |
7846
93.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14174
109.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15402
118.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12462
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
33078
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39160
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37562
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8135
300.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8429
311.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6872
253.7 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5878
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5839
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
949
16.4 IPS |
