iPhone 17
Geekbench AI Score
8179
Single Precision Score
16383
Half Precision Score
17246
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | vinebeat |
| Upload Date | March 11 2026 12:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
3764
699.9 IPS |
|
|
Image Classification (HP)
|
100% |
7555
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
7919
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5080
82.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8846
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9084
147.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18416
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
49980
58.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65718
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
4060
322.0 IPS |
|
|
Object Detection (HP)
|
100% |
7968
632.1 IPS |
|
|
Object Detection (Q)
|
93% |
8147
649.8 IPS |
|
|
Face Detection (SP)
|
100% |
9685
115.1 IPS |
|
|
Face Detection (HP)
|
100% |
21109
250.8 IPS |
|
|
Face Detection (Q)
|
100% |
20478
243.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15923
122.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33050
254.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35037
273.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39180
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
90522
116.4 IPS |
|
|
Style Transfer (Q)
|
96% |
111371
143.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9209
340.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18331
676.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19204
709.1 IPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6419
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6386
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4898
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7045
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6169
106.6 IPS |
