iPhone 17 Pro
Geekbench AI Score
5093
Single Precision Score
8366
Half Precision Score
6560
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 08 2026 10:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
3708
689.5 IPS |
|
|
Image Classification (Q)
|
96% |
2486
464.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3415
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10459
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19017
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15909
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2583
204.9 IPS |
|
|
Object Detection (HP)
|
97% |
4134
329.1 IPS |
|
|
Object Detection (Q)
|
94% |
2775
221.2 IPS |
|
|
Face Detection (SP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
8352
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14111
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9768
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24372
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37415
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30639
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5417
200.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7100
262.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3555
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6408
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5239
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9511
164.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9602
165.9 IPS |
