ASUS System Product Name
Geekbench ML Score
16952
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2024 12:05 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z690-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
7972
1.49 KIPS |
|
|
Image Classification (F16)
|
100% |
8309
1.55 KIPS |
|
|
Image Classification (I8)
|
100% |
5630
1.05 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12811
214.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
12303
205.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
9053
151.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
155857
188.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
158359
191.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
116160
140.7 IPS |
|
|
Object Detection (F32)
|
100% |
6106
455.9 IPS |
|
|
Object Detection (F16)
|
100% |
6103
455.6 IPS |
|
|
Object Detection (I8)
|
56% |
4727
352.9 IPS |
|
|
Face Detection (F32)
|
100% |
27376
325.5 IPS |
|
|
Face Detection (F16)
|
100% |
27444
326.3 IPS |
|
|
Face Detection (I8)
|
89% |
18181
216.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
54638
423.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
49452
383.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
30788
238.8 IPS |
|
|
Style Transfer (F32)
|
100% |
234497
308.5 IPS |
|
|
Style Transfer (F16)
|
100% |
233360
307.0 IPS |
|
|
Style Transfer (I8)
|
98% |
167191
219.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
33114
1.18 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
33055
1.18 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
18889
674.6 IPS |
|
|
Text Classification (F32)
|
100% |
2448
3.52 KIPS |
|
|
Text Classification (F16)
|
100% |
2449
3.52 KIPS |
|
|
Text Classification (I8)
|
98% |
1202
1.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
3466
63.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3449
63.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1513
27.8 IPS |
