iPhone 17 Pro
Geekbench AI Score
5018
Single Precision Score
8103
Half Precision Score
6449
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 28 2026 12:16 PM |
| Views | 6 |
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% |
2259
420.1 IPS |
|
|
Image Classification (HP)
|
100% |
3633
675.6 IPS |
|
|
Image Classification (Q)
|
96% |
2407
449.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3380
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10164
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17845
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15747
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.1 IPS |
|
|
Object Detection (HP)
|
97% |
4068
323.8 IPS |
|
|
Object Detection (Q)
|
94% |
2738
218.2 IPS |
|
|
Face Detection (SP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
8218
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
4290
51.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8157
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13772
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9724
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23273
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36295
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29863
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5341
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6841
252.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4829
178.3 IPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6325
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6295
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5331
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8861
153.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9368
161.9 IPS |
