iPhone 17
Geekbench AI Score
4730
Single Precision Score
7938
Half Precision Score
6284
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 07 2026 12:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2190
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
3524
655.3 IPS |
|
|
Image Classification (Q)
|
96% |
2392
446.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1894
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3326
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9840
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19054
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15942
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
97% |
4038
321.5 IPS |
|
|
Object Detection (Q)
|
94% |
2801
223.3 IPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7398
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4077
48.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8061
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13772
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9875
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22064
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37892
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31372
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5421
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7022
259.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3610
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6583
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6199
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4281
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6935
119.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6945
120.0 IPS |
