iPhone 16 Pro
Geekbench AI Score
5799
Single Precision Score
6773
Half Precision Score
6140
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ACEII |
| Upload Date | February 18 2025 07:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2931
545.0 IPS |
|
|
Image Classification (HP)
|
100% |
2424
450.8 IPS |
|
|
Image Classification (Q)
|
97% |
2824
526.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3525
57.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4430
71.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4389
71.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15760
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16544
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15658
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
3188
252.9 IPS |
|
|
Object Detection (HP)
|
100% |
3702
293.6 IPS |
|
|
Object Detection (Q)
|
91% |
3109
248.5 IPS |
|
|
Face Detection (SP)
|
100% |
7861
93.4 IPS |
|
|
Face Detection (HP)
|
100% |
10773
128.0 IPS |
|
|
Face Detection (Q)
|
100% |
7176
85.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13479
103.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14467
111.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
12571
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33110
42.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39580
50.9 IPS |
|
|
Style Transfer (Q)
|
96% |
36888
47.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8078
298.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8414
310.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6931
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5883
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
935
16.2 IPS |
