ASUS System Product Name
Geekbench ML Score
17655
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Ender436 |
| Upload Date | August 17 2024 02:54 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-P |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 48.0 KB x 6 |
| L2 Cache | 1.25 MB x 6 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8925
1.67 KIPS |
|
|
Image Classification (F16)
|
100% |
8827
1.65 KIPS |
|
|
Image Classification (I8)
|
100% |
5763
1.08 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13560
226.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
13286
221.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
9861
164.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
171390
207.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
171369
207.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
121753
147.4 IPS |
|
|
Object Detection (F32)
|
100% |
5051
377.1 IPS |
|
|
Object Detection (F16)
|
100% |
6350
474.1 IPS |
|
|
Object Detection (I8)
|
56% |
5007
373.8 IPS |
|
|
Face Detection (F32)
|
100% |
28194
335.2 IPS |
|
|
Face Detection (F16)
|
100% |
28242
335.8 IPS |
|
|
Face Detection (I8)
|
89% |
18389
218.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
53143
412.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
53919
418.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
32263
250.2 IPS |
|
|
Style Transfer (F32)
|
100% |
253169
333.0 IPS |
|
|
Style Transfer (F16)
|
100% |
249341
328.0 IPS |
|
|
Style Transfer (I8)
|
98% |
176956
232.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
35841
1.28 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
35789
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
17742
633.6 IPS |
|
|
Text Classification (F32)
|
100% |
2478
3.56 KIPS |
|
|
Text Classification (F16)
|
100% |
2455
3.53 KIPS |
|
|
Text Classification (I8)
|
98% |
1264
1.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
3693
68.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3693
68.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1524
28.1 IPS |
