iPhone 17 Pro
Geekbench AI Score
5186
Single Precision Score
8507
Half Precision Score
6674
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | mattpippen |
| Upload Date | December 29 2025 03:22 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2345
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
3812
709.0 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3444
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10733
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19844
23.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16713
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
97% |
4223
336.2 IPS |
|
|
Object Detection (Q)
|
94% |
2891
230.4 IPS |
|
|
Face Detection (SP)
|
100% |
4681
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8531
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4495
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8618
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14396
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10239
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25185
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39297
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32120
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6443
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5938
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5207
89.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9455
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9521
164.5 IPS |
