iPhone 16 Pro
Geekbench AI Score
4406
Single Precision Score
7684
Half Precision Score
6079
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | xtoofur |
| Upload Date | December 24 2024 02:06 PM |
| Views | 2 |
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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
3400
632.3 IPS |
|
|
Image Classification (Q)
|
96% |
2297
428.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2940
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8291
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
16977
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14392
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2064
163.7 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2597
207.0 IPS |
|
|
Face Detection (SP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7337
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4102
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7241
55.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13888
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9497
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22774
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36424
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29271
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5343
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6938
256.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4881
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
6073
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6050
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3791
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7159
123.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7149
123.5 IPS |
