ASUS System Product Name
Geekbench ML Score
13102
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | atef |
| Upload Date | August 15 2024 05:37 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6777
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6588
1.23 KIPS |
|
|
Image Classification (I8)
|
100% |
4753
889.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
9215
153.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
9191
153.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
7487
125.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
87896
106.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
88355
107.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
70124
84.9 IPS |
|
|
Object Detection (F32)
|
100% |
5279
394.1 IPS |
|
|
Object Detection (F16)
|
100% |
5081
379.3 IPS |
|
|
Object Detection (I8)
|
63% |
4413
329.4 IPS |
|
|
Face Detection (F32)
|
100% |
17877
212.6 IPS |
|
|
Face Detection (F16)
|
100% |
17907
212.9 IPS |
|
|
Face Detection (I8)
|
89% |
13581
161.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
40073
310.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
39531
306.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
27760
215.3 IPS |
|
|
Style Transfer (F32)
|
100% |
151171
198.9 IPS |
|
|
Style Transfer (F16)
|
100% |
136964
180.2 IPS |
|
|
Style Transfer (I8)
|
98% |
108129
142.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26785
956.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
27168
970.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
15882
567.2 IPS |
|
|
Text Classification (F32)
|
100% |
2244
3.23 KIPS |
|
|
Text Classification (F16)
|
100% |
2256
3.24 KIPS |
|
|
Text Classification (I8)
|
98% |
1093
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
3081
56.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3073
56.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1474
27.1 IPS |
