Micro-Star International Co., Ltd. US Desktop Aegis RS
Geekbench AI Score
4499
Single Precision Score
957
Half Precision Score
5299
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dpmeersman |
| Upload Date | August 16 2024 12:43 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2631
489.2 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.5 IPS |
|
|
Image Classification (Q)
|
99% |
4503
839.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
3274
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9180
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4994
5.83 IPS |
|
|
Pose Estimation (Q)
|
95% |
30635
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
2956
234.5 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
88% |
2643
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
4692
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
372
4.41 IPS |
|
|
Face Detection (Q)
|
97% |
5202
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10021
77.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1168
9.00 IPS |
|
|
Depth Estimation (Q)
|
76% |
10954
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22178
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12376
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
25913
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3842
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2439
90.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5735
212.4 IPS |
|
|
Text Classification (SP)
|
100% |
2068
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
633
847.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
810
13.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2731
60.9 IPS |
