iPhone 16 Pro
Geekbench AI Score
4686
Single Precision Score
7868
Half Precision Score
6328
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2060
383.0 IPS |
|
|
Image Classification (HP)
|
100% |
3487
648.4 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3292
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9330
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18329
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15648
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2330
184.9 IPS |
|
|
Object Detection (HP)
|
97% |
3778
300.7 IPS |
|
|
Object Detection (Q)
|
94% |
2672
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
3730
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7336
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4178
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8242
63.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13848
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9759
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22539
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37672
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31100
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5568
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.1 IPS |
|
|
Text Classification (SP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6139
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6179
8.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7877
136.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8006
138.4 IPS |
