Micro-Star International Co., Ltd. MS-7D32
Geekbench ML Score
11360
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 08:49 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5380
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
5588
1.05 KIPS |
|
|
Image Classification (I8)
|
100% |
3864
723.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
9012
150.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
8582
143.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7046
117.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
67369
81.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
66415
80.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
54913
66.5 IPS |
|
|
Object Detection (F32)
|
100% |
5245
391.5 IPS |
|
|
Object Detection (F16)
|
100% |
5040
376.2 IPS |
|
|
Object Detection (I8)
|
61% |
4151
309.9 IPS |
|
|
Face Detection (F32)
|
100% |
14405
171.3 IPS |
|
|
Face Detection (F16)
|
100% |
14296
170.0 IPS |
|
|
Face Detection (I8)
|
89% |
9933
118.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
30937
239.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
30591
237.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
21245
164.8 IPS |
|
|
Style Transfer (F32)
|
100% |
117817
155.0 IPS |
|
|
Style Transfer (F16)
|
100% |
108811
143.1 IPS |
|
|
Style Transfer (I8)
|
98% |
92208
121.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22352
798.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21242
758.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13505
482.3 IPS |
|
|
Text Classification (F32)
|
100% |
2246
3.23 KIPS |
|
|
Text Classification (F16)
|
100% |
2217
3.19 KIPS |
|
|
Text Classification (I8)
|
98% |
1139
1.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
3323
61.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3370
62.0 IPS |
|
|
Machine Translation (I8)
|
70% |
1359
25.0 IPS |
