iPhone 16 Pro
Geekbench AI Score
6081
Single Precision Score
7179
Half Precision Score
6855
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | December 30 2025 07:40 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2921
543.2 IPS |
|
|
Image Classification (HP)
|
100% |
3042
565.7 IPS |
|
|
Image Classification (Q)
|
96% |
3134
585.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4274
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4880
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4739
76.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15163
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17989
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17242
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3303
262.0 IPS |
|
|
Object Detection (HP)
|
100% |
3563
282.6 IPS |
|
|
Object Detection (Q)
|
92% |
3431
273.9 IPS |
|
|
Face Detection (SP)
|
100% |
7421
88.2 IPS |
|
|
Face Detection (HP)
|
100% |
10609
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
8488
100.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12986
100.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15201
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14009
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31546
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39344
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38834
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7544
278.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7714
284.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7165
264.6 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6132
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6244
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1308
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
