iPhone 17 Pro
Geekbench AI Score
5162
Single Precision Score
8389
Half Precision Score
6628
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 10 2026 05:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
3726
692.8 IPS |
|
|
Image Classification (Q)
|
96% |
2477
462.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3019
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10616
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19501
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16480
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2668
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4170
332.0 IPS |
|
|
Object Detection (Q)
|
94% |
2883
229.8 IPS |
|
|
Face Detection (SP)
|
100% |
4656
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
8526
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4467
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8423
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14321
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10084
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24735
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37994
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31429
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5615
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7084
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4961
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6000
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5367
92.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9519
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9609
166.0 IPS |
