iPhone 16 Pro
Geekbench AI Score
4750
Single Precision Score
33179
Half Precision Score
45157
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | aferreiro77 |
| Upload Date | July 08 2025 12:48 AM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.9 IPS |
|
|
Image Classification (HP)
|
100% |
15001
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
19542
3.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18259
296.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23861
386.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9639
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153678
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292232
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2385
189.1 IPS |
|
|
Object Detection (HP)
|
100% |
16337
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22311
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
4001
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
41170
489.2 IPS |
|
|
Face Detection (Q)
|
100% |
57175
679.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8360
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94979
731.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
158613
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21483
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244468
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
301597
389.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50595
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85173
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4858
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4604
6.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10008
172.4 IPS |
|
|
Machine Translation (Q)
|
98% |
10814
186.9 IPS |
