Micro-Star International Co., Ltd. US Desktop Aegis R2
Geekbench AI Score
4271
Single Precision Score
1315
Half Precision Score
6114
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 28 2025 11:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desktop Aegis R2 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760-VC WIFI 7 BULK (MS-7D98) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900F |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3342
621.5 IPS |
|
|
Image Classification (HP)
|
100% |
425
79.0 IPS |
|
|
Image Classification (Q)
|
99% |
5534
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3153
51.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7864
9.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3482
4.06 IPS |
|
|
Pose Estimation (Q)
|
94% |
24162
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
3242
257.2 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
86% |
6239
501.4 IPS |
|
|
Face Detection (SP)
|
100% |
9084
107.9 IPS |
|
|
Face Detection (HP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
8546
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9753
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
14143
112.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18868
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10093
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20470
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3051
112.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1873
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3575
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
1389
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
624
832.7 IPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1834
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2663
53.5 IPS |
