iPhone 17
Geekbench AI Score
3985
Single Precision Score
31716
Half Precision Score
43949
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Aymangh87 |
| Upload Date | March 18 2026 10:30 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1786
332.1 IPS |
|
|
Image Classification (HP)
|
100% |
14555
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
20919
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16341
264.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21516
348.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7137
8.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
117744
137.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
218776
256.4 IPS |
|
|
Object Detection (SP)
|
100% |
2089
165.7 IPS |
|
|
Object Detection (HP)
|
100% |
15566
1.23 KIPS |
|
|
Object Detection (Q)
|
89% |
21871
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
32312
383.9 IPS |
|
|
Face Detection (Q)
|
100% |
46906
557.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6917
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87395
673.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
143660
1.12 KIPS |
|
|
Style Transfer (SP)
|
100% |
17199
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204002
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
261894
338.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4195
154.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50002
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75748
2.80 KIPS |
|
|
Text Classification (SP)
|
100% |
5418
7.23 KIPS |
|
|
Text Classification (HP)
|
99% |
9121
12.2 KIPS |
|
|
Text Classification (Q)
|
93% |
9082
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
2910
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8994
154.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10282
177.7 IPS |
