iPhone17,2
Geekbench AI Score
4400
Single Precision Score
7555
Half Precision Score
6055
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 08:53 AM |
| Views | 1 |
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% |
1955
363.6 IPS |
|
|
Image Classification (HP)
|
100% |
3264
607.0 IPS |
|
|
Image Classification (Q)
|
96% |
2245
419.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1908
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8279
9.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
17278
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14664
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2081
165.0 IPS |
|
|
Object Detection (HP)
|
97% |
3713
295.6 IPS |
|
|
Object Detection (Q)
|
94% |
2617
208.6 IPS |
|
|
Face Detection (SP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7342
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4109
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7500
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13845
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9594
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23306
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36020
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29956
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6689
247.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4745
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
3455
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5876
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3751
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7009
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6993
120.8 IPS |
