iPhone 17 Pro
Geekbench AI Score
5249
Single Precision Score
8479
Half Precision Score
6654
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 24 2026 07:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2298
427.4 IPS |
|
|
Image Classification (HP)
|
100% |
2894
538.3 IPS |
|
|
Image Classification (Q)
|
94% |
1942
363.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3442
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8327
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
15675
18.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13614
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
98% |
4095
325.8 IPS |
|
|
Object Detection (Q)
|
88% |
2629
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
4741
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
9700
115.3 IPS |
|
|
Face Detection (Q)
|
100% |
4586
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7894
60.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11527
89.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7965
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21067
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39099
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32729
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5163
190.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9958
367.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6057
223.7 IPS |
|
|
Text Classification (SP)
|
99% |
6781
9.05 KIPS |
|
|
Text Classification (HP)
|
99% |
11717
15.6 KIPS |
|
|
Text Classification (Q)
|
93% |
11650
15.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
5248
90.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8446
145.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8442
145.9 IPS |
