iPhone 16 Pro
Geekbench AI Score
4427
Single Precision Score
7557
Half Precision Score
6038
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jayt |
| Upload Date | November 12 2025 03:25 PM |
| Views | 3 |
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% |
2003
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
3414
634.9 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3219
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8642
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17216
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14805
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.3 IPS |
|
|
Object Detection (HP)
|
97% |
3635
289.4 IPS |
|
|
Object Detection (Q)
|
94% |
2630
209.6 IPS |
|
|
Face Detection (SP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
6788
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
3870
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7574
58.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13140
101.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9057
70.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20694
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35910
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29081
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5166
190.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6962
257.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4897
180.8 IPS |
|
|
Text Classification (SP)
|
100% |
3621
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
6205
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6087
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7321
126.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7286
125.9 IPS |
