iPhone17,2
Geekbench AI Score
4470
Single Precision Score
7688
Half Precision Score
6123
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Pablolu |
| Upload Date | November 11 2024 01:59 AM |
| Views | 2 |
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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1979
368.0 IPS |
|
|
Image Classification (HP)
|
100% |
3373
627.3 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8828
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17942
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14971
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2075
164.6 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.7 IPS |
|
|
Object Detection (Q)
|
94% |
2651
211.3 IPS |
|
|
Face Detection (SP)
|
100% |
3539
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
7414
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4148
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7540
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13933
107.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9559
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23625
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37074
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30175
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6897
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5832
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5961
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6944
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6978
120.6 IPS |
