iPhone17,1
Geekbench AI Score
4379
Single Precision Score
7581
Half Precision Score
6005
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1987
369.6 IPS |
|
|
Image Classification (HP)
|
100% |
3326
618.5 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8184
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
16853
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14379
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2025
160.6 IPS |
|
|
Object Detection (HP)
|
97% |
3752
298.7 IPS |
|
|
Object Detection (Q)
|
94% |
2592
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
3520
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7380
87.7 IPS |
|
|
Face Detection (Q)
|
100% |
4027
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7323
56.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13429
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9283
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22447
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35869
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29610
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4715
174.1 IPS |
|
|
Text Classification (SP)
|
100% |
3417
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5822
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5828
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7020
121.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7027
121.4 IPS |
