ASUS System Product Name
Geekbench ML Score
8386
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2024 10:53 AM |
| 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% |
3598
673.2 IPS |
|
|
Image Classification (F16)
|
100% |
3875
725.1 IPS |
|
|
Image Classification (I8)
|
100% |
3144
588.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2862
47.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2859
47.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2679
44.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
114292
138.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
113225
137.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
92308
111.8 IPS |
|
|
Object Detection (F32)
|
100% |
2325
173.6 IPS |
|
|
Object Detection (F16)
|
100% |
2326
173.6 IPS |
|
|
Object Detection (I8)
|
56% |
2153
160.7 IPS |
|
|
Face Detection (F32)
|
100% |
8199
97.5 IPS |
|
|
Face Detection (F16)
|
100% |
8129
96.7 IPS |
|
|
Face Detection (I8)
|
89% |
6940
82.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
35272
273.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
35820
277.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
25747
199.7 IPS |
|
|
Style Transfer (F32)
|
100% |
159399
209.7 IPS |
|
|
Style Transfer (F16)
|
100% |
148709
195.6 IPS |
|
|
Style Transfer (I8)
|
98% |
118081
155.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19387
692.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19695
703.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13717
489.9 IPS |
|
|
Text Classification (F32)
|
100% |
2017
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
2166
3.11 KIPS |
|
|
Text Classification (I8)
|
98% |
1075
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
758
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
798
14.7 IPS |
|
|
Machine Translation (I8)
|
70% |
608
11.2 IPS |
