iPhone17,2
Geekbench AI Score
4465
Single Precision Score
7692
Half Precision Score
6156
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | October 15 2024 04:44 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2920
47.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8767
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17664
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15377
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2101
166.6 IPS |
|
|
Object Detection (HP)
|
97% |
3780
300.9 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
7414
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4174
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7703
59.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13808
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9735
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23771
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36947
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30564
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5449
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6951
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4943
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
5980
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5865
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3710
63.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7009
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6973
120.5 IPS |
