iPhone 17
Geekbench AI Score
4600
Single Precision Score
7835
Half Precision Score
6216
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eddi2001 |
| Upload Date | January 01 2026 09:40 PM |
| Views | 16 |
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% |
2169
403.3 IPS |
|
|
Image Classification (HP)
|
100% |
3542
658.7 IPS |
|
|
Image Classification (Q)
|
96% |
2386
445.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3329
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8429
9.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
18566
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15287
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
4000
318.4 IPS |
|
|
Object Detection (Q)
|
94% |
2744
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7008
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
4008
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8120
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13870
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9504
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21294
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37828
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30960
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5310
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6876
253.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4978
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6690
8.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6543
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6663
115.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6738
116.4 IPS |
