iPhone17,1
Geekbench AI Score
4363
Single Precision Score
7573
Half Precision Score
6069
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | owine |
| Upload Date | September 22 2024 05:36 PM |
| Views | 4 |
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% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
3334
620.1 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2829
45.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3269
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8323
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
17176
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14901
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2059
163.3 IPS |
|
|
Object Detection (HP)
|
97% |
3742
297.9 IPS |
|
|
Object Detection (Q)
|
94% |
2582
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
7253
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4081
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7427
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13838
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9648
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23424
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36529
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30338
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4909
181.3 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5885
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5844
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6894
119.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6902
119.3 IPS |
