iPhone 16 Pro
Geekbench AI Score
4694
Single Precision Score
7929
Half Precision Score
6298
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 26 2025 05:13 AM |
| Views | 1 |
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% |
2088
388.4 IPS |
|
|
Image Classification (HP)
|
100% |
3409
633.9 IPS |
|
|
Image Classification (Q)
|
96% |
2274
424.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3352
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9607
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18973
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16105
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
97% |
3761
299.4 IPS |
|
|
Object Detection (Q)
|
94% |
2633
209.9 IPS |
|
|
Face Detection (SP)
|
100% |
3904
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
7683
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4255
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8296
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14443
111.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10026
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20743
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38205
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31154
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5512
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7270
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5215
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
6093
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5971
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7455
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7347
127.0 IPS |
