iPhone17,2
Geekbench AI Score
4584
Single Precision Score
7790
Half Precision Score
6225
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Paddie37 |
| Upload Date | October 02 2024 01:46 PM |
| Views | 5 |
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% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3386
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9296
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18643
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15565
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.7 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2678
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
3616
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7516
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4273
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7924
61.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14353
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9973
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24532
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37842
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31170
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5739
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6972
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4994
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5827
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3788
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6996
120.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7055
121.9 IPS |
