iPhone 17 Pro
Geekbench AI Score
9361
Single Precision Score
17748
Half Precision Score
19081
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | March 08 2026 05:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
4340
807.1 IPS |
|
|
Image Classification (HP)
|
100% |
8601
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
8852
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6084
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9614
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10156
164.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20172
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53830
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
67957
79.6 IPS |
|
|
Object Detection (SP)
|
100% |
4466
354.2 IPS |
|
|
Object Detection (HP)
|
100% |
8783
696.7 IPS |
|
|
Object Detection (Q)
|
94% |
9643
768.9 IPS |
|
|
Face Detection (SP)
|
100% |
12305
146.2 IPS |
|
|
Face Detection (HP)
|
100% |
25933
308.1 IPS |
|
|
Face Detection (Q)
|
100% |
25037
297.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17982
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33396
257.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37264
290.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44081
56.7 IPS |
|
|
Style Transfer (HP)
|
100% |
94541
121.5 IPS |
|
|
Style Transfer (Q)
|
96% |
121805
157.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10422
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19115
705.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21955
810.7 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6555
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6471
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6047
104.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7733
133.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6727
116.3 IPS |
