iPhone 16 Pro
Geekbench AI Score
5801
Single Precision Score
6792
Half Precision Score
6035
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | saltcreek |
| Upload Date | December 27 2024 02:43 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2801
521.0 IPS |
|
|
Image Classification (HP)
|
100% |
2767
514.7 IPS |
|
|
Image Classification (Q)
|
97% |
2793
521.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3591
58.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4466
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4433
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15861
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16555
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15667
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3259
258.5 IPS |
|
|
Object Detection (HP)
|
100% |
3508
278.3 IPS |
|
|
Object Detection (Q)
|
91% |
2894
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
8029
95.4 IPS |
|
|
Face Detection (HP)
|
100% |
10814
128.5 IPS |
|
|
Face Detection (Q)
|
100% |
7246
86.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13582
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14565
112.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12303
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33343
42.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39149
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
35842
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8132
300.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8485
313.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6884
254.2 IPS |
|
|
Text Classification (SP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5765
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
901
15.6 IPS |
