iPhone 16 Pro
Geekbench AI Score
6021
Single Precision Score
7192
Half Precision Score
6671
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | November 07 2025 12:44 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2953
549.2 IPS |
|
|
Image Classification (HP)
|
100% |
3199
594.8 IPS |
|
|
Image Classification (Q)
|
96% |
3172
592.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4201
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4870
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4659
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14894
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17749
20.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17178
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3273
259.6 IPS |
|
|
Object Detection (HP)
|
100% |
3454
274.0 IPS |
|
|
Object Detection (Q)
|
92% |
3130
249.8 IPS |
|
|
Face Detection (SP)
|
100% |
7405
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
10539
125.2 IPS |
|
|
Face Detection (Q)
|
100% |
8224
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13007
100.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15037
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
12898
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
30418
39.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37192
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39089
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7574
279.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8231
303.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7017
259.1 IPS |
|
|
Text Classification (SP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6216
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1246
21.5 IPS |
