| User | Veennful |
| Upload Date | January 04 2025 02:11 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1574
292.8 IPS |
|
|
Image Classification (HP)
|
100% |
17399
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
20069
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21350
346.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26160
424.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8523
9.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
122155
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
120955
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
18538
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20776
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3446
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
38894
462.1 IPS |
|
|
Face Detection (Q)
|
100% |
47975
570.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7183
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
98817
761.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
124945
976.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22295
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
230090
295.8 IPS |
|
|
Style Transfer (Q)
|
96% |
221437
285.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5296
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47771
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57091
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2892
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5148
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5088
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3526
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4476
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4671
80.7 IPS |