iPhone 17 Pro
Geekbench AI Score
5106
Single Precision Score
8369
Half Precision Score
6591
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | December 29 2025 06:59 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2335
434.2 IPS |
|
|
Image Classification (HP)
|
100% |
3767
700.6 IPS |
|
|
Image Classification (Q)
|
96% |
2484
463.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3025
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3455
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18683
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15857
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (HP)
|
97% |
4179
332.7 IPS |
|
|
Object Detection (Q)
|
94% |
2814
224.3 IPS |
|
|
Face Detection (SP)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4337
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8449
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14033
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10017
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24640
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38000
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31100
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5556
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6909
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6466
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6446
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9428
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9351
161.6 IPS |
