iPhone 17 Pro
Geekbench AI Score
5305
Single Precision Score
8541
Half Precision Score
6761
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Itzamna |
| Upload Date | March 26 2026 10:30 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
2246
417.6 IPS |
|
|
Image Classification (HP)
|
100% |
2762
513.7 IPS |
|
|
Image Classification (Q)
|
94% |
2020
377.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2157
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3530
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8626
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16459
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13925
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2801
222.2 IPS |
|
|
Object Detection (HP)
|
98% |
4368
347.5 IPS |
|
|
Object Detection (Q)
|
88% |
2733
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4864
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
9957
118.3 IPS |
|
|
Face Detection (Q)
|
100% |
4806
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7961
61.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11268
87.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8228
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21716
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41291
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33191
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5001
184.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9559
353.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5987
221.1 IPS |
|
|
Text Classification (SP)
|
100% |
6767
9.03 KIPS |
|
|
Text Classification (HP)
|
100% |
11335
15.1 KIPS |
|
|
Text Classification (Q)
|
93% |
10753
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
5304
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8638
148.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8713
150.6 IPS |
