iPhone 17 Pro
Geekbench AI Score
5144
Single Precision Score
8366
Half Precision Score
6607
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Kuseski |
| Upload Date | January 20 2026 09:25 PM |
| 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% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
3751
697.7 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3013
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3411
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10905
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19586
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16782
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
97% |
4163
331.4 IPS |
|
|
Object Detection (Q)
|
94% |
2915
232.3 IPS |
|
|
Face Detection (SP)
|
100% |
4617
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8435
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4499
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14396
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10186
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24958
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39346
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32054
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5584
206.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6942
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5837
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5704
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5216
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9418
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9156
158.2 IPS |
