iPhone 16 Pro
Geekbench AI Score
4573
Single Precision Score
7792
Half Precision Score
6213
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ACEII |
| Upload Date | February 18 2025 06:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2045
380.3 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1978
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9003
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18375
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15292
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2146
170.2 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.8 IPS |
|
|
Object Detection (Q)
|
94% |
2663
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3644
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7548
89.7 IPS |
|
|
Face Detection (Q)
|
100% |
4243
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7782
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14260
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9908
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24100
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37871
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30985
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5705
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4997
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5842
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5890
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7145
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7120
123.0 IPS |
