iPhone 16 Pro
Geekbench AI Score
4563
Single Precision Score
7787
Half Precision Score
6219
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | vanboquestaels |
| Upload Date | February 19 2025 01:14 PM |
| Views | 9 |
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% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
3390
630.4 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2894
46.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8943
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18296
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15611
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.0 IPS |
|
|
Object Detection (HP)
|
97% |
3837
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2686
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
7519
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4249
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7760
59.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14310
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9917
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24350
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37368
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30743
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5641
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6946
256.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4982
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6032
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3807
65.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7072
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7137
123.3 IPS |
