iPhone17,5
Geekbench AI Score
4179
Single Precision Score
7246
Half Precision Score
5748
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | March 15 2025 03:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| Model | iPhone17,5 |
| Model ID | iPhone17,5 |
| Motherboard | V59AP |
| 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 | 7.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1956
363.8 IPS |
|
|
Image Classification (HP)
|
100% |
3196
594.3 IPS |
|
|
Image Classification (Q)
|
96% |
2205
411.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2859
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3259
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8140
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
16647
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14069
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
97% |
3630
289.0 IPS |
|
|
Object Detection (Q)
|
94% |
2553
203.5 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6818
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3812
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6917
53.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13059
100.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8950
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21720
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
34833
44.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28119
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5074
187.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6704
247.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4647
171.6 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5911
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5892
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3542
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5884
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5813
100.5 IPS |
