iPhone 16 Pro
Geekbench AI Score
3556
Single Precision Score
5772
Half Precision Score
5043
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rossivr771 |
| Upload Date | October 09 2025 01:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2012
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
3452
641.9 IPS |
|
|
Image Classification (Q)
|
96% |
2060
384.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2742
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2869
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7818
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14789
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13389
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1925
152.7 IPS |
|
|
Object Detection (HP)
|
97% |
3260
259.5 IPS |
|
|
Object Detection (Q)
|
94% |
2275
181.3 IPS |
|
|
Face Detection (SP)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5545
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
3264
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5713
44.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
10039
77.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
7971
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14645
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27415
35.2 IPS |
|
|
Style Transfer (Q)
|
96% |
25871
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3956
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5014
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3451
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
3080
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
2431
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5169
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2173
37.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4838
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4928
85.2 IPS |
