iPhone 17
Geekbench AI Score
8223
Single Precision Score
16443
Half Precision Score
17184
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 02:39 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3807
708.0 IPS |
|
|
Image Classification (HP)
|
100% |
7637
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
7867
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5089
82.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8832
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9080
147.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18423
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49937
58.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65430
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
4062
322.2 IPS |
|
|
Object Detection (HP)
|
100% |
7975
632.6 IPS |
|
|
Object Detection (Q)
|
93% |
8148
649.9 IPS |
|
|
Face Detection (SP)
|
100% |
9887
117.5 IPS |
|
|
Face Detection (HP)
|
100% |
21395
254.2 IPS |
|
|
Face Detection (Q)
|
100% |
20555
244.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15977
123.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
32961
253.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
35347
276.0 IPS |
|
|
Style Transfer (SP)
|
100% |
39493
50.8 IPS |
|
|
Style Transfer (HP)
|
100% |
90481
116.3 IPS |
|
|
Style Transfer (Q)
|
96% |
111257
143.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9208
340.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18364
678.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19098
705.2 IPS |
|
|
Text Classification (SP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6500
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4905
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7062
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5996
103.6 IPS |
