iPhone 17 Pro
Geekbench AI Score
9111
Single Precision Score
16962
Half Precision Score
17556
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | January 01 2026 08:47 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4247
789.8 IPS |
|
|
Image Classification (HP)
|
100% |
8079
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7486
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6098
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9560
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10517
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20491
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54279
63.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59554
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8102
642.6 IPS |
|
|
Object Detection (Q)
|
93% |
8088
645.2 IPS |
|
|
Face Detection (SP)
|
100% |
11810
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
23313
277.0 IPS |
|
|
Face Detection (Q)
|
100% |
18120
215.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18062
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35455
273.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
39351
307.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43781
56.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96756
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
120644
155.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19098
705.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22458
829.3 IPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6365
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4917
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5981
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5967
103.1 IPS |
