| User | furunos |
| Upload Date | September 29 2024 01:19 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2761
513.4 IPS |
|
|
Image Classification (HP)
|
100% |
2844
528.9 IPS |
|
|
Image Classification (Q)
|
97% |
2468
460.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3457
56.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4371
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4298
69.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13062
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13246
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12728
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
3197
253.6 IPS |
|
|
Object Detection (HP)
|
100% |
3500
277.6 IPS |
|
|
Object Detection (Q)
|
91% |
2642
211.1 IPS |
|
|
Face Detection (SP)
|
100% |
7800
92.7 IPS |
|
|
Face Detection (HP)
|
100% |
10726
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
7260
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13277
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14310
110.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11491
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31139
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32697
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32660
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8075
298.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8514
314.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6853
253.0 IPS |
|
|
Text Classification (SP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5816
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5807
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (HP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1046
18.1 IPS |