| User | Intranetusa |
| Upload Date | February 11 2026 04:01 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11541
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
18989
3.53 KIPS |
|
|
Image Classification (Q)
|
100% |
10514
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24283
393.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
38567
625.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
22183
360.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
174076
203.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
516290
602.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
149282
174.9 IPS |
|
|
Object Detection (SP)
|
100% |
16621
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
28070
2.23 KIPS |
|
|
Object Detection (Q)
|
83% |
13772
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
45173
536.7 IPS |
|
|
Face Detection (HP)
|
100% |
69631
827.4 IPS |
|
|
Face Detection (Q)
|
97% |
38644
460.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
72326
557.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
141214
1.09 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57253
457.0 IPS |
|
|
Style Transfer (SP)
|
100% |
244008
313.7 IPS |
|
|
Style Transfer (HP)
|
100% |
836100
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
208940
269.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43470
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79944
2.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34397
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4526
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2357
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7340
126.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7493
129.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3247
60.9 IPS |