iPhone17,2
Geekbench AI Score
4432
Single Precision Score
7589
Half Precision Score
6081
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | muzzy099 |
| Upload Date | December 02 2024 12:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2270
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1929
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8533
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
17237
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14818
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.7 IPS |
|
|
Object Detection (HP)
|
97% |
3722
296.3 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3465
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
7250
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4141
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7526
58.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13741
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9588
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23339
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36251
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29591
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6919
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4905
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5849
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5797
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6942
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
