iPhone 17 Pro
Geekbench AI Score
9442
Single Precision Score
17871
Half Precision Score
19349
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 05 2026 01:19 AM |
| Views | 8 |
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% |
4328
804.8 IPS |
|
|
Image Classification (HP)
|
100% |
8657
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8843
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6145
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9686
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10571
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20517
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54556
63.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
70114
82.2 IPS |
|
|
Object Detection (SP)
|
100% |
4525
358.9 IPS |
|
|
Object Detection (HP)
|
100% |
8640
685.3 IPS |
|
|
Object Detection (Q)
|
94% |
9643
768.9 IPS |
|
|
Face Detection (SP)
|
100% |
12329
146.5 IPS |
|
|
Face Detection (HP)
|
100% |
26362
313.2 IPS |
|
|
Face Detection (Q)
|
100% |
25545
303.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18145
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33779
260.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38446
300.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44676
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
98077
126.1 IPS |
|
|
Style Transfer (Q)
|
96% |
125304
161.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10470
386.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19122
706.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21956
810.7 IPS |
|
|
Text Classification (SP)
|
100% |
3575
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6494
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6537
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7755
133.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6592
113.9 IPS |
