iPhone 16 Pro
Geekbench AI Score
4474
Single Precision Score
7626
Half Precision Score
6050
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:22 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% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
100% |
3469
645.2 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3222
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8630
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17054
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14193
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2243
177.9 IPS |
|
|
Object Detection (HP)
|
97% |
3692
293.9 IPS |
|
|
Object Detection (Q)
|
94% |
2577
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6982
83.0 IPS |
|
|
Face Detection (Q)
|
100% |
3929
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7741
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13389
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9202
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20973
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35498
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28938
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5196
191.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7070
261.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4918
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6248
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
6285
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7486
129.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7445
128.7 IPS |
