iPhone 17
Geekbench AI Score
4541
Single Precision Score
7593
Half Precision Score
6054
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | January 01 2026 06:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
3443
640.3 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3253
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9075
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17259
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15110
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (HP)
|
97% |
3900
310.5 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3487
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
6947
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
3805
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8007
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13322
103.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9467
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21278
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35816
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29950
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5137
189.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6596
243.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4780
176.5 IPS |
|
|
Text Classification (SP)
|
100% |
3581
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6447
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6441
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4130
71.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6778
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6672
115.3 IPS |
