iPhone 16 Pro
Geekbench AI Score
4660
Single Precision Score
7882
Half Precision Score
6289
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 15 2025 08:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.8 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2955
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3390
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9507
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18998
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16213
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.8 IPS |
|
|
Object Detection (HP)
|
97% |
3869
308.0 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7682
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4312
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8075
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14201
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9879
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24259
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38132
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31279
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5881
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6979
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5004
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3482
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6021
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5983
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7192
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7198
124.4 IPS |
