| User | zlocorp |
| Upload Date | March 16 2026 08:51 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
10007
1.86 KIPS |
|
|
Image Classification (HP)
|
99% |
14782
2.76 KIPS |
|
|
Image Classification (Q)
|
100% |
6657
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16634
269.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
27422
444.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12621
205.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
137712
160.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
397378
463.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
108002
126.5 IPS |
|
|
Object Detection (SP)
|
100% |
12724
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
19015
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
8464
680.9 IPS |
|
|
Face Detection (SP)
|
100% |
33767
401.2 IPS |
|
|
Face Detection (HP)
|
100% |
50569
600.9 IPS |
|
|
Face Detection (Q)
|
97% |
22263
265.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
62798
483.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
109943
847.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
36388
291.5 IPS |
|
|
Style Transfer (SP)
|
100% |
254939
327.7 IPS |
|
|
Style Transfer (HP)
|
100% |
613640
788.8 IPS |
|
|
Style Transfer (Q)
|
98% |
180081
232.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37443
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48148
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19884
736.3 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1444
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5061
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5013
86.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1625
30.5 IPS |