iPhone 17
Geekbench AI Score
4664
Single Precision Score
7794
Half Precision Score
6130
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | December 29 2025 03:05 PM |
| Views | 5 |
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% |
2194
408.0 IPS |
|
|
Image Classification (HP)
|
100% |
3510
652.7 IPS |
|
|
Image Classification (Q)
|
96% |
2365
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3246
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9718
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18659
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15615
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2470
196.0 IPS |
|
|
Object Detection (HP)
|
97% |
4011
319.3 IPS |
|
|
Object Detection (Q)
|
94% |
2577
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
3703
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
7184
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
4046
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8036
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13646
105.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9587
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21735
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36828
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30332
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5241
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6627
244.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4818
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6509
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6079
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4307
74.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7010
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7042
121.7 IPS |
