iPhone17,1
Geekbench AI Score
4465
Single Precision Score
7663
Half Precision Score
6104
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | icreatefrance |
| Upload Date | November 09 2024 01:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPhone17,1 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
3353
623.6 IPS |
|
|
Image Classification (Q)
|
96% |
2268
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8653
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17295
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15095
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2077
164.7 IPS |
|
|
Object Detection (HP)
|
97% |
3804
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2634
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7447
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4142
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7499
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13897
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9558
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23513
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36599
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29877
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6851
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4864
179.6 IPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5912
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5911
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3795
65.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7048
121.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7014
121.2 IPS |
