iPhone17,1
Geekbench AI Score
4259
Single Precision Score
7371
Half Precision Score
5879
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SoylentGreen |
| Upload Date | October 11 2024 08:14 PM |
| Views | 6 |
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% |
1979
368.1 IPS |
|
|
Image Classification (HP)
|
100% |
3319
617.2 IPS |
|
|
Image Classification (Q)
|
96% |
2232
416.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2887
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3233
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7798
9.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
16277
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13760
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1976
156.7 IPS |
|
|
Object Detection (HP)
|
97% |
3723
296.4 IPS |
|
|
Object Detection (Q)
|
94% |
2576
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
7188
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
3974
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7039
54.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
12960
100.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
8947
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21824
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35035
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28998
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6729
248.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4686
173.1 IPS |
|
|
Text Classification (SP)
|
100% |
3415
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5847
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5795
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3771
65.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6356
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6892
119.1 IPS |
