ASUS System Product Name
Geekbench ML Score
8604
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 25 2024 10:57 AM |
| Views | 3 |
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% |
3804
711.7 IPS |
|
|
Image Classification (F16)
|
100% |
3757
703.1 IPS |
|
|
Image Classification (I8)
|
100% |
3033
567.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2860
47.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2837
47.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2642
44.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
113279
137.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
112151
135.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
92222
111.7 IPS |
|
|
Object Detection (F32)
|
100% |
3194
238.4 IPS |
|
|
Object Detection (F16)
|
100% |
3176
237.1 IPS |
|
|
Object Detection (I8)
|
56% |
2841
212.1 IPS |
|
|
Face Detection (F32)
|
100% |
8020
95.4 IPS |
|
|
Face Detection (F16)
|
100% |
8278
98.4 IPS |
|
|
Face Detection (I8)
|
89% |
6869
81.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
35402
274.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
35675
276.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
25599
198.5 IPS |
|
|
Style Transfer (F32)
|
100% |
158544
208.6 IPS |
|
|
Style Transfer (F16)
|
100% |
148348
195.1 IPS |
|
|
Style Transfer (I8)
|
98% |
117915
155.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19356
691.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19243
687.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13313
475.4 IPS |
|
|
Text Classification (F32)
|
100% |
1977
2.84 KIPS |
|
|
Text Classification (F16)
|
100% |
2102
3.02 KIPS |
|
|
Text Classification (I8)
|
98% |
1097
1.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
773
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
800
14.7 IPS |
|
|
Machine Translation (I8)
|
70% |
613
11.3 IPS |
