iPhone 16 Pro
Geekbench AI Score
4339
Single Precision Score
7312
Half Precision Score
5800
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | November 07 2025 12:39 PM |
| Views | 5 |
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% |
1955
363.5 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.7 IPS |
|
|
Image Classification (Q)
|
96% |
2115
395.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2686
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3128
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8291
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
16255
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13731
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
97% |
3168
252.2 IPS |
|
|
Object Detection (Q)
|
94% |
2434
194.0 IPS |
|
|
Face Detection (SP)
|
100% |
3496
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
6765
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3800
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7434
57.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
12989
100.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
8775
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20349
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34039
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
27891
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4894
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6935
256.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4734
174.8 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6213
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6120
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4041
69.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7365
127.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7235
125.0 IPS |
