Micro-Star International Co., Ltd. US Desktop Aegis RS
Geekbench AI Score
6193
Single Precision Score
6368
Half Precision Score
15431
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dpmeersman |
| Upload Date | August 18 2024 11:18 AM |
| Views | 6 |
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% |
4637
862.4 IPS |
|
|
Image Classification (HP)
|
100% |
4622
859.6 IPS |
|
|
Image Classification (Q)
|
100% |
9284
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4340
70.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3818
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9124
147.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9075
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9012
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
33038
38.7 IPS |
|
|
Object Detection (SP)
|
100% |
4322
342.9 IPS |
|
|
Object Detection (HP)
|
100% |
4240
336.3 IPS |
|
|
Object Detection (Q)
|
88% |
9863
790.6 IPS |
|
|
Face Detection (SP)
|
100% |
12233
145.4 IPS |
|
|
Face Detection (HP)
|
100% |
12241
145.4 IPS |
|
|
Face Detection (Q)
|
100% |
24404
290.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10845
83.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
11129
85.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
26968
213.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19965
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26648
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
86762
111.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4929
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5479
202.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17042
631.1 IPS |
|
|
Text Classification (SP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
4562
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (Q)
|
85% |
6249
109.3 IPS |
