iPhone17,1
Geekbench AI Score
4623
Single Precision Score
7849
Half Precision Score
6264
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 18 2024 12:20 AM |
| Views | 2 |
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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.2 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3388
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9343
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18755
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16006
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2154
170.9 IPS |
|
|
Object Detection (HP)
|
97% |
3850
306.5 IPS |
|
|
Object Detection (Q)
|
94% |
2705
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
3681
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
7674
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
4288
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8002
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14405
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10031
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24608
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38016
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31157
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7053
260.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5005
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3480
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5853
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3827
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7150
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7117
123.0 IPS |
