iPhone 16 Pro
Geekbench AI Score
4602
Single Precision Score
7813
Half Precision Score
6273
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 10:47 PM |
| Views | 1 |
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% |
2018
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.5 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1984
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8891
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18221
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15831
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2193
174.0 IPS |
|
|
Object Detection (HP)
|
97% |
3856
307.0 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7618
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
4300
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7862
60.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14478
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10069
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24715
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37894
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31196
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6986
258.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4994
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5992
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7107
122.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7131
123.2 IPS |
