| User | zlocorp |
| Upload Date | March 16 2026 08:49 AM |
| Views | 9 |
| Notes | F37 PBO 70 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3763
699.9 IPS |
|
|
Image Classification (HP)
|
100% |
3764
700.0 IPS |
|
|
Image Classification (Q)
|
100% |
10764
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4282
69.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11537
187.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6878
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
6862
8.01 IPS |
|
|
Pose Estimation (Q)
|
98% |
27147
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
3695
293.1 IPS |
|
|
Object Detection (HP)
|
100% |
3632
288.1 IPS |
|
|
Object Detection (Q)
|
88% |
10999
881.7 IPS |
|
|
Face Detection (SP)
|
100% |
9125
108.4 IPS |
|
|
Face Detection (HP)
|
100% |
9177
109.0 IPS |
|
|
Face Detection (Q)
|
100% |
27707
329.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9134
70.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
28488
221.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18729
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18730
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
71241
91.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4458
164.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4355
160.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14277
528.8 IPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (Q)
|
92% |
6286
8.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6444
111.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6575
113.3 IPS |
|
|
Machine Translation (Q)
|
100% |
9560
164.7 IPS |