Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
6544
Single Precision Score
2733
Half Precision Score
10515
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 08 2025 04:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X 12-Core Processor |
| 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 | Ultimate Performance |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6296
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
998
185.6 IPS |
|
|
Image Classification (Q)
|
99% |
11548
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1493
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4254
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11413
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9047
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
38243
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
5196
412.1 IPS |
|
|
Object Detection (HP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (Q)
|
86% |
12848
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
8321
98.9 IPS |
|
|
Face Detection (HP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (Q)
|
97% |
12739
151.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12147
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3692
28.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23709
189.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25138
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21152
27.2 IPS |
|
|
Style Transfer (Q)
|
98% |
24462
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4822
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6533
241.9 IPS |
|
|
Text Classification (SP)
|
100% |
2903
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2554
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4173
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5555
111.6 IPS |
