Micro-Star International Co., Ltd. US Desktop Vision Elite RS
Geekbench ML Score
4965
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 24 2024 09:04 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desktop Vision Elite RS |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-VC WIFI (MS-7D33) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2716
508.3 IPS |
|
|
Image Classification (F16)
|
100% |
2701
505.3 IPS |
|
|
Image Classification (I8)
|
99% |
4427
828.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2327
38.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2301
38.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3217
53.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
10765
13.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
10904
13.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
35241
42.7 IPS |
|
|
Object Detection (F32)
|
100% |
2478
185.0 IPS |
|
|
Object Detection (F16)
|
100% |
2436
181.9 IPS |
|
|
Object Detection (I8)
|
62% |
2149
160.4 IPS |
|
|
Face Detection (F32)
|
100% |
5341
63.5 IPS |
|
|
Face Detection (F16)
|
100% |
5338
63.5 IPS |
|
|
Face Detection (I8)
|
89% |
5362
63.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10890
84.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11010
85.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
18349
142.3 IPS |
|
|
Style Transfer (F32)
|
100% |
25397
33.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25348
33.3 IPS |
|
|
Style Transfer (I8)
|
98% |
30343
39.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4651
166.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4831
172.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6212
221.9 IPS |
|
|
Text Classification (F32)
|
100% |
1729
2.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1684
2.42 KIPS |
|
|
Text Classification (I8)
|
98% |
489
703.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2393
44.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2368
43.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3415
62.9 IPS |
