| User | abhimanbhau |
| Upload Date | August 31 2024 02:00 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5034
936.2 IPS |
|
|
Image Classification (HP)
|
100% |
5114
951.1 IPS |
|
|
Image Classification (Q)
|
100% |
10853
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5112
82.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5136
83.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10635
172.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16148
18.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16132
18.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
63344
74.2 IPS |
|
|
Object Detection (SP)
|
100% |
5731
454.6 IPS |
|
|
Object Detection (HP)
|
100% |
5649
448.1 IPS |
|
|
Object Detection (Q)
|
88% |
12658
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
15119
179.6 IPS |
|
|
Face Detection (HP)
|
100% |
15098
179.4 IPS |
|
|
Face Detection (Q)
|
100% |
36048
428.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16274
125.4 IPS |
|
|
Depth Estimation (HP)
|
100% |
15898
122.5 IPS |
|
|
Depth Estimation (Q)
|
80% |
42277
335.1 IPS |
|
|
Style Transfer (SP)
|
100% |
40953
52.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41368
53.2 IPS |
|
|
Style Transfer (Q)
|
98% |
147155
189.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8177
301.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8222
303.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23724
878.6 IPS |
|
|
Text Classification (SP)
|
100% |
3903
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (Q)
|
92% |
4410
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5368
92.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (Q)
|
85% |
5321
93.0 IPS |