iPhone 16 Pro
Geekbench AI Score
4814
Single Precision Score
7956
Half Precision Score
6397
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
3485
648.1 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2868
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9956
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18853
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16290
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.5 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2685
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
3842
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7387
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4224
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8400
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13962
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9833
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23811
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38906
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31931
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5900
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7259
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5175
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6125
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6119
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4231
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7987
138.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8060
139.3 IPS |
