| Upload Date | September 05 2024 07:03 PM |
| Views | 31 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS XTREME |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14617
2.72 KIPS |
|
|
Image Classification (HP)
|
99% |
19366
3.61 KIPS |
|
|
Image Classification (Q)
|
100% |
12211
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22923
371.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
27798
450.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21042
342.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
327038
381.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
556286
649.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
282936
331.3 IPS |
|
|
Object Detection (SP)
|
100% |
19335
1.53 KIPS |
|
|
Object Detection (HP)
|
100% |
25036
1.99 KIPS |
|
|
Object Detection (Q)
|
89% |
15375
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
51280
609.3 IPS |
|
|
Face Detection (HP)
|
100% |
61080
725.8 IPS |
|
|
Face Detection (Q)
|
97% |
42695
509.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
96414
742.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
165814
1.28 KIPS |
|
|
Depth Estimation (Q)
|
75% |
69539
560.9 IPS |
|
|
Style Transfer (SP)
|
100% |
596969
767.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1117382
1.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
506386
653.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63935
2.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85547
3.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46857
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (HP)
|
99% |
5017
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2336
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5397
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2125
47.4 IPS |