Micro-Star International Co., Ltd. US Desktop Aegis RS
Geekbench AI Score
6102
Single Precision Score
6168
Half Precision Score
15533
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dpmeersman |
| Upload Date | September 09 2024 01:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desktop Aegis RS |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4613
857.8 IPS |
|
|
Image Classification (HP)
|
100% |
4607
856.7 IPS |
|
|
Image Classification (Q)
|
100% |
9312
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3985
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4636
75.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9104
147.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9065
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9065
10.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32880
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
4302
341.2 IPS |
|
|
Object Detection (HP)
|
100% |
4307
341.6 IPS |
|
|
Object Detection (Q)
|
88% |
10133
812.2 IPS |
|
|
Face Detection (SP)
|
100% |
12177
144.7 IPS |
|
|
Face Detection (HP)
|
100% |
12294
146.1 IPS |
|
|
Face Detection (Q)
|
100% |
23906
284.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11024
84.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
11349
87.4 IPS |
|
|
Depth Estimation (Q)
|
80% |
27484
217.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24160
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15014
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
88617
114.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3853
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5710
210.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16738
619.8 IPS |
|
|
Text Classification (SP)
|
100% |
1562
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
1546
2.06 KIPS |
|
|
Text Classification (Q)
|
92% |
4706
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5176
89.2 IPS |
|
|
Machine Translation (Q)
|
85% |
6313
110.4 IPS |
