Micro-Star International Co., Ltd. MS-7D32
Geekbench ML Score
11399
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 08:43 AM |
| Views | 3 |
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% |
5508
1.03 KIPS |
|
|
Image Classification (F16)
|
100% |
5696
1.07 KIPS |
|
|
Image Classification (I8)
|
100% |
3790
709.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
8957
149.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8765
146.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
7056
117.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
67249
81.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
66896
81.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
54017
65.4 IPS |
|
|
Object Detection (F32)
|
100% |
5182
386.8 IPS |
|
|
Object Detection (F16)
|
100% |
5023
375.0 IPS |
|
|
Object Detection (I8)
|
61% |
4206
314.0 IPS |
|
|
Face Detection (F32)
|
100% |
15126
179.9 IPS |
|
|
Face Detection (F16)
|
100% |
14182
168.6 IPS |
|
|
Face Detection (I8)
|
89% |
9958
118.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
30887
239.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
28893
224.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
22213
172.3 IPS |
|
|
Style Transfer (F32)
|
100% |
118280
155.6 IPS |
|
|
Style Transfer (F16)
|
100% |
111056
146.1 IPS |
|
|
Style Transfer (I8)
|
98% |
88778
116.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
22245
794.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21198
757.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13427
479.5 IPS |
|
|
Text Classification (F32)
|
100% |
2262
3.25 KIPS |
|
|
Text Classification (F16)
|
100% |
2234
3.21 KIPS |
|
|
Text Classification (I8)
|
98% |
1154
1.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
3338
61.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3348
61.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1424
26.2 IPS |
