iPhone 17
Geekbench AI Score
4443
Single Precision Score
7560
Half Precision Score
5982
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | February 16 2026 09:58 PM |
| Views | 18 |
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% |
1977
367.7 IPS |
|
|
Image Classification (HP)
|
100% |
3413
634.6 IPS |
|
|
Image Classification (Q)
|
96% |
2254
421.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2811
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3107
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8594
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17121
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14637
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2574
205.1 IPS |
|
|
Face Detection (SP)
|
100% |
3407
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
6967
82.8 IPS |
|
|
Face Detection (Q)
|
100% |
3836
45.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7911
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13395
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9354
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20899
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35417
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29432
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6717
248.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4794
177.0 IPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6479
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6466
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4175
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6751
116.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6803
117.6 IPS |
