Micro-Star International Co., Ltd. US Desketop Aegis RS
Geekbench AI Score
3060
Single Precision Score
1412
Half Precision Score
5315
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 06:33 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desketop Aegis RS |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2608
484.9 IPS |
|
|
Image Classification (HP)
|
100% |
498
92.6 IPS |
|
|
Image Classification (Q)
|
99% |
6920
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
786
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2256
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4882
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4099
4.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
20623
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2263
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (Q)
|
86% |
5113
411.0 IPS |
|
|
Face Detection (SP)
|
100% |
4058
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
1355
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
8293
98.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6350
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2029
15.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15094
120.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11440
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10010
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
19844
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2151
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1932
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3785
140.2 IPS |
|
|
Text Classification (SP)
|
100% |
1660
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
826
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
516
691.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2256
45.3 IPS |
