iPhone 16 Pro
Geekbench AI Score
6072
Single Precision Score
7130
Half Precision Score
6762
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 09 2026 06:05 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
3001
558.1 IPS |
|
|
Image Classification (HP)
|
100% |
2793
519.5 IPS |
|
|
Image Classification (Q)
|
96% |
3065
572.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4286
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4900
79.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4718
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15159
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17787
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17121
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3123
247.7 IPS |
|
|
Object Detection (HP)
|
100% |
3349
265.7 IPS |
|
|
Object Detection (Q)
|
92% |
3264
260.5 IPS |
|
|
Face Detection (SP)
|
100% |
7463
88.7 IPS |
|
|
Face Detection (HP)
|
100% |
10580
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
8354
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13000
100.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15346
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13909
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31177
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39274
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38684
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7594
280.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8262
305.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7176
265.0 IPS |
|
|
Text Classification (SP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6062
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1326
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1266
21.9 IPS |
