iPhone 16 Pro
Geekbench AI Score
4704
Single Precision Score
7934
Half Precision Score
6298
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 09:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2942
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3349
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9532
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18709
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15749
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.6 IPS |
|
|
Object Detection (HP)
|
97% |
3840
305.7 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3989
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7675
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4283
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14528
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10087
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20931
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38123
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31340
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7347
271.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5187
191.5 IPS |
|
|
Text Classification (SP)
|
100% |
3385
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5932
7.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5851
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4254
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7487
129.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7537
130.3 IPS |
