iPhone 16 Pro
Geekbench AI Score
4361
Single Precision Score
7560
Half Precision Score
6024
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 01:15 AM |
| 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% |
1920
357.1 IPS |
|
|
Image Classification (HP)
|
100% |
3315
616.6 IPS |
|
|
Image Classification (Q)
|
96% |
2237
417.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3286
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8124
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
16875
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14158
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2067
163.9 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2609
208.0 IPS |
|
|
Face Detection (SP)
|
100% |
3497
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7226
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4093
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7474
57.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13770
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9592
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23282
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36347
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30033
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5423
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4863
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5834
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5811
7.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6945
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6966
120.4 IPS |
