iPhone 16 Pro
Geekbench AI Score
5750
Single Precision Score
6590
Half Precision Score
6196
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | April 26 2025 12:43 PM |
| Views | 2 |
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% |
2670
496.5 IPS |
|
|
Image Classification (HP)
|
100% |
2120
394.3 IPS |
|
|
Image Classification (Q)
|
97% |
2890
539.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3548
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4443
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4380
71.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15648
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16478
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15699
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3146
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
3509
278.3 IPS |
|
|
Object Detection (Q)
|
91% |
3086
246.6 IPS |
|
|
Face Detection (SP)
|
100% |
8259
98.1 IPS |
|
|
Face Detection (HP)
|
100% |
11001
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
7720
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14002
107.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15101
116.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12481
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32490
41.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38551
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37271
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7837
289.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8229
303.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6873
253.8 IPS |
|
|
Text Classification (SP)
|
100% |
3451
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6054
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
6024
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
835
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
915
15.8 IPS |
