iPhone 16 Pro
Geekbench AI Score
4522
Single Precision Score
7736
Half Precision Score
6166
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 03:26 AM |
| 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% |
2024
376.5 IPS |
|
|
Image Classification (HP)
|
100% |
3377
628.1 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8886
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18139
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15325
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2124
168.5 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
3564
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7436
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
4224
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7716
59.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14155
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9736
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23741
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37492
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30220
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6935
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4987
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5814
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5787
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3827
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7022
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7052
121.9 IPS |
