iPhone 17 Pro
Geekbench AI Score
5149
Single Precision Score
8345
Half Precision Score
6620
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 12 2026 01:07 AM |
| Views | 3 |
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% |
2314
430.4 IPS |
|
|
Image Classification (HP)
|
100% |
3734
694.4 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3057
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3402
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10285
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18927
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15923
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
97% |
4078
324.7 IPS |
|
|
Object Detection (Q)
|
94% |
2819
224.7 IPS |
|
|
Face Detection (SP)
|
100% |
4517
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8451
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4350
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8424
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14054
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10045
78.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24808
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38680
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31506
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5688
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7085
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5052
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6196
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6567
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5234
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9221
159.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9370
161.9 IPS |
