Micro-Star International Co., Ltd. US Desktop Aegis RS
Geekbench AI Score
4525
Single Precision Score
971
Half Precision Score
5290
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | dpmeersman |
| Upload Date | September 09 2024 12:47 PM |
| Views | 6 |
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% |
2701
502.2 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
99% |
4608
859.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
3268
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9046
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5227
6.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
30786
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2998
237.8 IPS |
|
|
Object Detection (HP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (Q)
|
88% |
2563
205.5 IPS |
|
|
Face Detection (SP)
|
100% |
4750
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
97% |
4676
55.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9825
75.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1162
8.95 IPS |
|
|
Depth Estimation (Q)
|
76% |
11136
89.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22487
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13109
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26519
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3882
143.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5523
204.5 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
802
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
664
889.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2856
63.7 IPS |
