iPhone17,5
Geekbench AI Score
4045
Single Precision Score
7063
Half Precision Score
5583
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | justintea |
| Upload Date | March 02 2025 06:45 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1914
356.0 IPS |
|
|
Image Classification (HP)
|
100% |
3213
597.6 IPS |
|
|
Image Classification (Q)
|
96% |
2189
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2777
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3177
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7674
8.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
16000
18.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13262
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.7 IPS |
|
|
Object Detection (HP)
|
97% |
3600
286.6 IPS |
|
|
Object Detection (Q)
|
94% |
2447
195.0 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6589
78.3 IPS |
|
|
Face Detection (Q)
|
100% |
3715
44.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6770
52.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12817
99.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8746
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20630
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33074
42.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26832
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4805
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6454
238.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4451
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5873
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5923
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3439
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5686
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5677
98.1 IPS |
