| User | PB7591 |
| Upload Date | January 28 2025 09:59 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock TRX40 Creator |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7826
1.46 KIPS |
|
|
Image Classification (HP)
|
99% |
9010
1.68 KIPS |
|
|
Image Classification (Q)
|
100% |
5457
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11029
178.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13881
225.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9126
148.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
161547
188.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
304800
355.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
123307
144.5 IPS |
|
|
Object Detection (SP)
|
100% |
10157
805.6 IPS |
|
|
Object Detection (HP)
|
100% |
12090
959.0 IPS |
|
|
Object Detection (Q)
|
85% |
7141
574.5 IPS |
|
|
Face Detection (SP)
|
100% |
26736
317.7 IPS |
|
|
Face Detection (HP)
|
100% |
32841
390.2 IPS |
|
|
Face Detection (Q)
|
97% |
18550
221.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
52957
408.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
76116
586.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
32303
258.7 IPS |
|
|
Style Transfer (SP)
|
100% |
246762
317.2 IPS |
|
|
Style Transfer (HP)
|
100% |
509753
655.3 IPS |
|
|
Style Transfer (Q)
|
98% |
177513
228.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31189
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
36540
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18585
688.2 IPS |
|
|
Text Classification (SP)
|
100% |
1913
2.55 KIPS |
|
|
Text Classification (HP)
|
99% |
2154
2.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1121
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2863
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1234
23.1 IPS |