Micro-Star International Co., Ltd. US Desktop Aegis RS2
Geekbench AI Score
5986
Single Precision Score
2305
Half Precision Score
10350
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 08:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desktop Aegis RS2 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI PZ (MS-7E58) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5013
932.3 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.3 IPS |
|
|
Image Classification (Q)
|
99% |
9234
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15383
250.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13025
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7163
8.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
39725
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
4447
352.8 IPS |
|
|
Object Detection (HP)
|
100% |
1014
80.4 IPS |
|
|
Object Detection (Q)
|
86% |
9838
790.6 IPS |
|
|
Face Detection (SP)
|
100% |
12907
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
11827
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13711
105.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3130
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
20181
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26690
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17499
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
25159
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6881
254.8 IPS |
|
|
Text Classification (SP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1597
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3854
77.4 IPS |
