iPhone 16 Pro
Geekbench AI Score
6014
Single Precision Score
6764
Half Precision Score
6657
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 09:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2861
532.1 IPS |
|
|
Image Classification (HP)
|
100% |
2151
400.1 IPS |
|
|
Image Classification (Q)
|
96% |
2980
556.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4377
71.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4873
79.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4703
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15484
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16733
19.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16631
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
3128
248.1 IPS |
|
|
Object Detection (HP)
|
100% |
3396
269.3 IPS |
|
|
Object Detection (Q)
|
92% |
3100
247.5 IPS |
|
|
Face Detection (SP)
|
100% |
7691
91.4 IPS |
|
|
Face Detection (HP)
|
100% |
10539
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
8466
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13371
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14710
113.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
13817
107.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32811
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37713
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38482
49.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7922
292.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8072
298.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7519
277.6 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5757
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1129
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1214
21.0 IPS |
