iPhone 16 Pro
Geekbench AI Score
4656
Single Precision Score
7764
Half Precision Score
6244
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3469
645.0 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3319
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9399
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17904
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15217
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3710
295.4 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3741
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7175
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
4116
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8169
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13817
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9666
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22533
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36504
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30183
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5453
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7149
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5021
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6215
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6183
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4149
71.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7642
132.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7807
134.9 IPS |
