Micro-Star International Co., Ltd. US Desketop Aegis RS
Geekbench AI Score
5588
Single Precision Score
5581
Half Precision Score
14706
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 06:35 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11700K @ 3.60GHz |
| 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% |
3612
671.7 IPS |
|
|
Image Classification (HP)
|
100% |
3609
671.2 IPS |
|
|
Image Classification (Q)
|
100% |
9658
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3848
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3874
62.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8866
143.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7972
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
8003
9.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
31353
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3147
249.6 IPS |
|
|
Object Detection (HP)
|
100% |
3193
253.3 IPS |
|
|
Object Detection (Q)
|
88% |
10203
817.9 IPS |
|
|
Face Detection (SP)
|
100% |
6248
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
6193
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
24014
285.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9580
73.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9483
73.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
26412
205.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20305
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18960
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
80854
104.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4498
166.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4507
166.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15265
565.3 IPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (Q)
|
92% |
5017
6.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4462
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4431
76.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4399
75.8 IPS |
