Micro-Star International Co., Ltd. US Desketop Aegis RS
Geekbench AI Score
21636
Single Precision Score
32894
Half Precision Score
13693
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | dgbrownnt |
| Upload Date | February 04 2025 06:31 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desketop Aegis RS |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9030
1.68 KIPS |
|
|
Image Classification (HP)
|
99% |
12473
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
6211
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13330
216.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18117
293.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10268
167.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
128238
149.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
367880
429.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
100806
118.1 IPS |
|
|
Object Detection (SP)
|
100% |
11317
897.7 IPS |
|
|
Object Detection (HP)
|
100% |
16161
1.28 KIPS |
|
|
Object Detection (Q)
|
85% |
7855
631.9 IPS |
|
|
Face Detection (SP)
|
100% |
28227
335.4 IPS |
|
|
Face Detection (HP)
|
100% |
38550
458.1 IPS |
|
|
Face Detection (Q)
|
97% |
19713
235.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
56013
431.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99083
763.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
34441
275.9 IPS |
|
|
Style Transfer (SP)
|
100% |
235010
302.1 IPS |
|
|
Style Transfer (HP)
|
100% |
554794
713.2 IPS |
|
|
Style Transfer (Q)
|
98% |
175804
226.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34513
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42296
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19454
720.4 IPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
3343
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3685
63.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1447
27.1 IPS |
