Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
1971
Single Precision Score
2103
Half Precision Score
1615
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 02 2025 09:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. US Desktop Aegis ZS2 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-VC WIFI III (MS-7E18) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
661
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.1 IPS |
|
|
Image Classification (Q)
|
100% |
663
123.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1006
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6590
7.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
10808
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5910
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (HP)
|
100% |
675
53.6 IPS |
|
|
Object Detection (Q)
|
87% |
681
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
2224
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (Q)
|
97% |
2062
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3779
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4473
34.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3312
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11252
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16232
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9911
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2793
103.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3758
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2097
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
744
993.2 IPS |
|
|
Text Classification (HP)
|
100% |
797
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
517
692.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
70% |
613
11.5 IPS |
