iPhone 17 Pro
Geekbench AI Score
8365
Single Precision Score
16256
Half Precision Score
15627
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 01:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4292
798.3 IPS |
|
|
Image Classification (HP)
|
100% |
8041
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7421
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6076
98.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9505
154.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10478
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20199
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53389
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58903
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8111
643.4 IPS |
|
|
Object Detection (Q)
|
93% |
8058
642.8 IPS |
|
|
Face Detection (SP)
|
100% |
11854
140.9 IPS |
|
|
Face Detection (HP)
|
100% |
23117
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17970
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17925
138.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
35493
273.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38779
302.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43579
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
94935
122.0 IPS |
|
|
Style Transfer (Q)
|
96% |
120069
154.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10416
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18682
689.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22235
821.0 IPS |
|
|
Text Classification (SP)
|
100% |
3548
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6415
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6526
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2113
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4173
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1939
33.5 IPS |
