iPhone 16 Pro
Geekbench AI Score
4373
Single Precision Score
7499
Half Precision Score
5937
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | June 10 2025 11:42 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
3451
641.8 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2785
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3187
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8246
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16337
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14025
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.3 IPS |
|
|
Object Detection (HP)
|
97% |
3642
290.0 IPS |
|
|
Object Detection (Q)
|
94% |
2453
195.5 IPS |
|
|
Face Detection (SP)
|
100% |
3615
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7019
83.4 IPS |
|
|
Face Detection (Q)
|
100% |
3793
45.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7550
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12893
99.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8986
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20211
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35500
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28195
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5056
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7079
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
5802
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5807
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4147
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7459
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7742
133.8 IPS |
