iPhone 17 Pro
Geekbench AI Score
9115
Single Precision Score
17258
Half Precision Score
17655
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | mattpippen |
| Upload Date | December 29 2025 03:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4354
809.6 IPS |
|
|
Image Classification (HP)
|
100% |
8664
1.61 KIPS |
|
|
Image Classification (Q)
|
97% |
7799
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6072
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9619
155.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10679
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20219
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53446
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58201
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4446
352.6 IPS |
|
|
Object Detection (HP)
|
100% |
8497
674.0 IPS |
|
|
Object Detection (Q)
|
92% |
8408
671.4 IPS |
|
|
Face Detection (SP)
|
100% |
12123
144.0 IPS |
|
|
Face Detection (HP)
|
100% |
25878
307.5 IPS |
|
|
Face Detection (Q)
|
100% |
19335
229.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17882
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35665
274.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38550
300.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43356
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
94447
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
119096
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10421
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17832
658.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21763
803.6 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6659
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6321
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4812
82.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5984
103.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5915
102.2 IPS |
