iPhone 17 Pro
Geekbench AI Score
5263
Single Precision Score
8486
Half Precision Score
6725
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 31 2026 02:27 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
2388
444.0 IPS |
|
|
Image Classification (HP)
|
100% |
2653
493.5 IPS |
|
|
Image Classification (Q)
|
94% |
2005
374.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3466
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8387
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15796
18.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
13528
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2647
209.9 IPS |
|
|
Object Detection (HP)
|
98% |
4140
329.4 IPS |
|
|
Object Detection (Q)
|
88% |
2681
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4703
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
9723
115.5 IPS |
|
|
Face Detection (Q)
|
100% |
4621
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7841
60.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11509
89.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8120
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21896
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41493
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32724
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5082
187.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9904
365.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6173
227.9 IPS |
|
|
Text Classification (SP)
|
100% |
6717
8.96 KIPS |
|
|
Text Classification (HP)
|
99% |
11273
15.0 KIPS |
|
|
Text Classification (Q)
|
93% |
11504
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8535
147.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8618
148.9 IPS |
