User | joedec |
Upload Date | April 24 2025 02:31 AM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Apple Part 000 r0p0 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | VMware, Inc. VMware20,1 |
Motherboard | VMware, Inc. VBSA |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Apple Part 000 r0p0 |
Topology | 1 Processor, 4 Cores |
Identifier | ARMv8 (64-bit) Family 8 Model 0 Revision 0 |
Base Frequency | 2.00 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 4.00 GB |
Type | DRAM |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
356
66.2 IPS |
|
Image Classification (HP)
|
100% |
1602
298.0 IPS |
|
Image Classification (Q)
|
99% |
3347
624.4 IPS |
|
Image Segmentation (SP)
|
100% |
536
8.68 IPS |
|
Image Segmentation (HP)
|
100% |
1810
29.3 IPS |
|
Image Segmentation (Q)
|
98% |
2064
33.6 IPS |
|
Pose Estimation (SP)
|
100% |
2254
2.63 IPS |
|
Pose Estimation (HP)
|
100% |
3212
3.75 IPS |
|
Pose Estimation (Q)
|
94% |
7568
8.87 IPS |
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
Object Detection (HP)
|
99% |
1539
122.4 IPS |
|
Object Detection (Q)
|
86% |
3345
268.9 IPS |
|
Face Detection (SP)
|
100% |
1215
14.4 IPS |
|
Face Detection (HP)
|
100% |
4361
51.8 IPS |
|
Face Detection (Q)
|
97% |
4516
53.9 IPS |
|
Depth Estimation (SP)
|
100% |
1107
8.53 IPS |
|
Depth Estimation (HP)
|
98% |
2506
19.4 IPS |
|
Depth Estimation (Q)
|
79% |
7343
58.4 IPS |
|
Style Transfer (SP)
|
100% |
5102
6.56 IPS |
|
Style Transfer (HP)
|
100% |
5618
7.22 IPS |
|
Style Transfer (Q)
|
98% |
14026
18.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
1167
43.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
1159
42.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
2711
100.4 IPS |
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
Text Classification (HP)
|
100% |
666
888.6 IPS |
|
Text Classification (Q)
|
97% |
1231
1.65 KIPS |
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
Machine Translation (HP)
|
99% |
2375
41.0 IPS |
|
Machine Translation (Q)
|
65% |
3003
60.3 IPS |