iPhone17,1
Geekbench AI Score
4386
Single Precision Score
7570
Half Precision Score
6018
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 05:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1992
370.4 IPS |
|
|
Image Classification (HP)
|
100% |
3346
622.2 IPS |
|
|
Image Classification (Q)
|
96% |
2259
421.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3276
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8328
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
17408
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14539
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2033
161.2 IPS |
|
|
Object Detection (HP)
|
97% |
3734
297.3 IPS |
|
|
Object Detection (Q)
|
94% |
2607
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
3522
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7322
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4053
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7394
57.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13396
103.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9313
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22746
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35587
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29290
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5291
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6744
249.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4892
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5800
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7031
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7082
122.4 IPS |
