iPhone 16 Pro
Geekbench AI Score
4698
Single Precision Score
7922
Half Precision Score
6287
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 08:25 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3411
634.4 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3351
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9561
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18876
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15849
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
97% |
3845
306.1 IPS |
|
|
Object Detection (Q)
|
94% |
2668
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7672
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4249
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8319
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14457
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10074
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20897
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38083
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31156
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5463
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7382
272.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5143
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5877
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7471
129.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7452
128.8 IPS |
