iPhone 17
Geekbench AI Score
4716
Single Precision Score
7862
Half Precision Score
6253
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | juptr |
| Upload Date | January 05 2026 07:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2182
405.8 IPS |
|
|
Image Classification (HP)
|
100% |
3526
655.8 IPS |
|
|
Image Classification (Q)
|
96% |
2388
445.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9740
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18907
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15845
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
4031
320.9 IPS |
|
|
Object Detection (Q)
|
94% |
2793
222.6 IPS |
|
|
Face Detection (SP)
|
100% |
3698
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7333
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4086
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13606
105.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9863
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21894
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38342
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31403
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6990
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4960
183.1 IPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6168
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6146
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6960
120.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6729
116.3 IPS |
