iPhone17,2
Geekbench AI Score
4288
Single Precision Score
7481
Half Precision Score
5981
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPhone17,2 |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1964
365.3 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.3 IPS |
|
|
Image Classification (Q)
|
96% |
2255
421.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1905
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7932
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16796
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14282
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2003
158.9 IPS |
|
|
Object Detection (HP)
|
97% |
3737
297.5 IPS |
|
|
Object Detection (Q)
|
94% |
2634
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3470
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
7299
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4026
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7232
55.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13431
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9247
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22137
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35519
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28957
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5145
190.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6593
243.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4707
173.8 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5825
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
6001
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3627
62.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6780
117.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6812
117.7 IPS |
