iPhone17,2
Geekbench AI Score
4604
Single Precision Score
7822
Half Precision Score
6242
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Irish910 |
| Upload Date | December 02 2024 01:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
2000
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
3345
622.0 IPS |
|
|
Image Classification (Q)
|
96% |
2264
422.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2928
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9459
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19040
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16063
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2162
171.5 IPS |
|
|
Object Detection (HP)
|
97% |
3813
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
3633
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7573
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4275
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8007
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14329
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9995
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24552
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37926
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30920
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6975
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5003
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5990
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7015
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7086
122.5 IPS |
