iPhone 17
Geekbench AI Score
4675
Single Precision Score
35424
Half Precision Score
47951
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | juptr |
| Upload Date | February 12 2026 07:52 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2207
410.5 IPS |
|
|
Image Classification (HP)
|
100% |
15731
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22130
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18857
305.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24125
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8750
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160953
187.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
299672
351.2 IPS |
|
|
Object Detection (SP)
|
100% |
2533
200.9 IPS |
|
|
Object Detection (HP)
|
100% |
17301
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24582
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
39700
471.7 IPS |
|
|
Face Detection (Q)
|
100% |
48424
575.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8209
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
102756
791.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162021
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22145
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
251835
323.7 IPS |
|
|
Style Transfer (Q)
|
96% |
346861
447.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56428
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85386
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6145
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5909
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4309
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10575
182.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11903
205.7 IPS |
