Micro-Star International Co., Ltd. US Desktop Aegis RS2
Geekbench AI Score
7195
Single Precision Score
2451
Half Precision Score
11323
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 03:47 PM |
| Views | 6 |
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 Aegis RS2 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5576
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
904
168.1 IPS |
|
|
Image Classification (Q)
|
99% |
9324
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2943
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15624
254.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15009
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7532
8.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
48375
56.7 IPS |
|
|
Object Detection (SP)
|
100% |
5152
408.6 IPS |
|
|
Object Detection (HP)
|
100% |
1154
91.5 IPS |
|
|
Object Detection (Q)
|
86% |
12220
982.1 IPS |
|
|
Face Detection (SP)
|
100% |
15976
189.8 IPS |
|
|
Face Detection (HP)
|
100% |
2115
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
14315
170.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16629
128.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3390
26.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
22818
182.1 IPS |
|
|
Style Transfer (SP)
|
100% |
34014
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
20224
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23782
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3761
138.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7671
284.0 IPS |
|
|
Text Classification (SP)
|
100% |
1875
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
967
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1529
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4417
88.7 IPS |
