iPhone 17 Pro
Geekbench AI Score
5076
Single Precision Score
8324
Half Precision Score
6565
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 01:28 PM |
| Views | 3 |
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% |
2316
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
3654
679.5 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3034
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10718
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19198
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16388
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2527
200.4 IPS |
|
|
Object Detection (HP)
|
97% |
4121
328.0 IPS |
|
|
Object Detection (Q)
|
94% |
2851
227.3 IPS |
|
|
Face Detection (SP)
|
100% |
4557
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8524
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4452
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8350
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13931
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9960
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24448
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37615
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31266
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5400
199.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7134
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4923
181.8 IPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6210
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5944
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5268
90.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9211
159.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9257
160.0 IPS |
