iPhone 16 Pro
Geekbench AI Score
4219
Single Precision Score
7399
Half Precision Score
5882
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 30 2025 02:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8284
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
16986
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14351
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1963
155.7 IPS |
|
|
Object Detection (HP)
|
97% |
3655
291.0 IPS |
|
|
Object Detection (Q)
|
94% |
2534
202.0 IPS |
|
|
Face Detection (SP)
|
100% |
3306
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
7071
84.0 IPS |
|
|
Face Detection (Q)
|
100% |
3674
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6798
52.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
12836
99.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9210
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20835
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34805
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28057
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4958
183.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6568
242.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4691
173.2 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5880
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5968
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3647
62.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6805
117.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6785
117.3 IPS |
