ASUS System Product Name
Geekbench ML Score
12885
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | atef |
| Upload Date | March 28 2025 09:03 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 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 3060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6571
1.23 KIPS |
|
|
Image Classification (F16)
|
100% |
6491
1.21 KIPS |
|
|
Image Classification (I8)
|
100% |
4755
889.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
9209
153.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
9247
154.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
7565
126.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
86772
105.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
88227
106.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
70188
85.0 IPS |
|
|
Object Detection (F32)
|
100% |
5031
375.6 IPS |
|
|
Object Detection (F16)
|
100% |
5081
379.3 IPS |
|
|
Object Detection (I8)
|
63% |
4191
312.9 IPS |
|
|
Face Detection (F32)
|
100% |
17730
210.8 IPS |
|
|
Face Detection (F16)
|
100% |
17972
213.7 IPS |
|
|
Face Detection (I8)
|
89% |
13578
161.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
41773
324.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
38824
301.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
26736
207.3 IPS |
|
|
Style Transfer (F32)
|
100% |
135246
177.9 IPS |
|
|
Style Transfer (F16)
|
100% |
132083
173.7 IPS |
|
|
Style Transfer (I8)
|
98% |
109391
143.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26339
940.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26122
932.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15729
561.7 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
2108
3.03 KIPS |
|
|
Text Classification (I8)
|
98% |
1062
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
3114
57.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3092
56.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1486
27.4 IPS |
