iPhone 17
Geekbench AI Score
8062
Single Precision Score
15658
Half Precision Score
15605
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 05:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3670
682.4 IPS |
|
|
Image Classification (HP)
|
100% |
7352
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6377
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5014
81.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8759
142.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9056
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18309
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49658
57.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
57820
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
3937
312.3 IPS |
|
|
Object Detection (HP)
|
100% |
7436
589.8 IPS |
|
|
Object Detection (Q)
|
93% |
6822
544.2 IPS |
|
|
Face Detection (SP)
|
100% |
9512
113.0 IPS |
|
|
Face Detection (HP)
|
100% |
19338
229.8 IPS |
|
|
Face Detection (Q)
|
100% |
14833
176.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15829
122.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33538
258.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
35412
276.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38899
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
90045
115.8 IPS |
|
|
Style Transfer (Q)
|
96% |
106087
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9217
340.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18320
676.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19438
717.8 IPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6340
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6302
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4597
79.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5493
94.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5510
95.2 IPS |
