iPhone 17
Geekbench AI Score
4527
Single Precision Score
7633
Half Precision Score
6033
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 27 2026 03:11 PM |
| Views | 1 |
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% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
3517
654.0 IPS |
|
|
Image Classification (Q)
|
96% |
2372
442.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1836
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3263
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9045
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17410
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14784
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2380
188.7 IPS |
|
|
Object Detection (HP)
|
97% |
3924
312.4 IPS |
|
|
Object Detection (Q)
|
94% |
2578
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
3743
44.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7907
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13275
102.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9314
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20949
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36520
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29751
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5173
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6833
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4904
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6426
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6245
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4017
69.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6526
112.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6821
117.9 IPS |
