iPhone 16 Pro
Geekbench AI Score
4487
Single Precision Score
7659
Half Precision Score
6132
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 04:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2262
422.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2918
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8646
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17425
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14969
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.6 IPS |
|
|
Object Detection (HP)
|
97% |
3767
299.9 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
7429
88.3 IPS |
|
|
Face Detection (Q)
|
100% |
4141
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7673
59.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13582
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9665
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23577
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36372
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30060
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5462
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4938
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
3426
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5993
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5872
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3805
65.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7079
122.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7089
122.5 IPS |
