Micro-Star International Co., Ltd. US Desktop Vision RS
Geekbench AI Score
7253
Single Precision Score
2667
Half Precision Score
11656
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 22 2025 03:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desktop Vision RS |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5935
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (Q)
|
99% |
10483
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3122
50.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
17832
290.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15730
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8598
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
49387
57.9 IPS |
|
|
Object Detection (SP)
|
100% |
5323
422.3 IPS |
|
|
Object Detection (HP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (Q)
|
86% |
12469
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
16760
199.1 IPS |
|
|
Face Detection (HP)
|
100% |
2612
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
14361
171.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16567
127.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3625
27.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
24706
197.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35238
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21202
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27694
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4401
162.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3116
115.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5570
206.2 IPS |
|
|
Text Classification (SP)
|
100% |
1904
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1106
1.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1665
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3170
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1599
27.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4416
88.7 IPS |
