| Upload Date | November 24 2025 11:48 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 GAMING X WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B850 GAMING X WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11962
2.22 KIPS |
|
|
Image Classification (HP)
|
100% |
21075
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
10902
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24334
394.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
39316
637.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22190
360.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
170576
199.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
519554
606.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
146497
171.6 IPS |
|
|
Object Detection (SP)
|
100% |
17111
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
31003
2.46 KIPS |
|
|
Object Detection (Q)
|
83% |
14127
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
45632
542.2 IPS |
|
|
Face Detection (HP)
|
100% |
72192
857.8 IPS |
|
|
Face Detection (Q)
|
97% |
38401
457.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
71625
551.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
143209
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56192
448.5 IPS |
|
|
Style Transfer (SP)
|
100% |
239515
307.9 IPS |
|
|
Style Transfer (HP)
|
100% |
852557
1.10 KIPS |
|
|
Style Transfer (Q)
|
98% |
204628
263.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44682
1.65 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85953
3.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35331
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
5088
6.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2469
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
7397
127.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7528
129.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3230
60.6 IPS |