iPhone 17
Geekbench AI Score
4704
Single Precision Score
7897
Half Precision Score
6344
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | juptr |
| Upload Date | February 12 2026 07:55 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2183
406.0 IPS |
|
|
Image Classification (HP)
|
100% |
3567
663.4 IPS |
|
|
Image Classification (Q)
|
96% |
2382
444.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2924
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9917
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19034
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16392
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
97% |
4037
321.4 IPS |
|
|
Object Detection (Q)
|
94% |
2828
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
7256
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4220
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8382
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14063
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10024
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21953
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38745
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31842
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5471
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6964
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5023
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6203
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6137
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4323
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6895
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6896
119.2 IPS |
