iPhone 16 Pro
Geekbench AI Score
4429
Single Precision Score
7619
Half Precision Score
6100
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 07:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1950
362.6 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1940
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8508
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
17577
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15049
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2132
169.1 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
3588
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7421
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
4178
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7559
58.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13986
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9828
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23466
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37152
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30123
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5347
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6639
245.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4802
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3354
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
5749
7.67 KIPS |
|
|
Text Classification (Q)
|
93% |
5696
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6923
119.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6923
119.6 IPS |
