iPhone17,1
Geekbench AI Score
4515
Single Precision Score
7736
Half Precision Score
6163
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 09:14 PM |
| 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 | 4.03 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
3370
626.8 IPS |
|
|
Image Classification (Q)
|
96% |
2238
417.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1949
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3371
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8755
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17739
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15328
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2133
169.2 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3630
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7571
90.0 IPS |
|
|
Face Detection (Q)
|
100% |
4212
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7603
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13990
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9736
76.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23768
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37470
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30669
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5590
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4953
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5850
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3850
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7118
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7058
122.0 IPS |
