iPhone 16 Pro
Geekbench AI Score
4460
Single Precision Score
7679
Half Precision Score
6093
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 16 2025 06:26 PM |
| Views | 2 |
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% |
2026
376.9 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.2 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3376
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8813
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18158
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15449
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2155
170.9 IPS |
|
|
Object Detection (HP)
|
97% |
3690
293.8 IPS |
|
|
Object Detection (Q)
|
94% |
2478
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
7254
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4034
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7125
54.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13984
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9520
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23671
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36898
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30477
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5570
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6989
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4944
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5908
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5915
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7062
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6999
121.0 IPS |
