iPhone 17 Pro
Geekbench AI Score
4925
Single Precision Score
7980
Half Precision Score
6359
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 25 2026 09:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2157
401.2 IPS |
|
|
Image Classification (HP)
|
100% |
2718
505.5 IPS |
|
|
Image Classification (Q)
|
94% |
1870
349.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2051
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3109
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8252
9.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
14522
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12641
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2046
162.3 IPS |
|
|
Object Detection (HP)
|
98% |
3314
263.7 IPS |
|
|
Object Detection (Q)
|
88% |
2084
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
3715
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
8708
103.5 IPS |
|
|
Face Detection (Q)
|
100% |
4638
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7952
61.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11371
87.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7944
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22059
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42090
54.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33643
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5150
190.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9580
353.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6089
224.8 IPS |
|
|
Text Classification (SP)
|
99% |
6857
9.15 KIPS |
|
|
Text Classification (HP)
|
99% |
11473
15.3 KIPS |
|
|
Text Classification (Q)
|
93% |
11025
14.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
5214
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8526
146.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8492
146.8 IPS |
