Micro-Star International Co., Ltd. US Desktop Aegis RS
Geekbench AI Score
5367
Single Precision Score
1865
Half Precision Score
8534
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dpmeersman |
| Upload Date | January 03 2025 11:22 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% |
4406
819.3 IPS |
|
|
Image Classification (HP)
|
100% |
687
127.8 IPS |
|
|
Image Classification (Q)
|
99% |
7186
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4267
69.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9328
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5058
5.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
30159
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3835
304.2 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
86% |
7668
616.3 IPS |
|
|
Face Detection (SP)
|
100% |
10388
123.4 IPS |
|
|
Face Detection (HP)
|
100% |
2108
25.0 IPS |
|
|
Face Detection (Q)
|
97% |
11831
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12028
92.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2507
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18391
146.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22101
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12281
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
27340
35.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4083
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2482
91.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5965
220.9 IPS |
|
|
Text Classification (SP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2069
2.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2431
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3940
79.2 IPS |
