iPhone 17
Geekbench AI Score
4510
Single Precision Score
35300
Half Precision Score
48039
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | December 29 2025 03:11 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2156
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
15763
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22007
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18906
306.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23343
378.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8341
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
146163
170.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
279000
327.0 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
100% |
17283
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24948
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
3357
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
39425
468.5 IPS |
|
|
Face Detection (Q)
|
100% |
50451
599.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7942
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100377
773.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162993
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21346
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
245157
315.2 IPS |
|
|
Style Transfer (Q)
|
96% |
343848
443.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5019
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56748
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84655
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6524
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6330
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4342
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11113
191.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12082
208.8 IPS |
