Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
5851
Single Precision Score
2174
Half Precision Score
10527
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 01 2025 07:40 PM |
| Views | 10 |
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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4338
806.8 IPS |
|
|
Image Classification (HP)
|
100% |
768
142.9 IPS |
|
|
Image Classification (Q)
|
99% |
9865
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
998
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4229
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12232
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
9404
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
45661
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
4164
330.3 IPS |
|
|
Object Detection (HP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (Q)
|
86% |
10972
881.8 IPS |
|
|
Face Detection (SP)
|
100% |
8091
96.1 IPS |
|
|
Face Detection (HP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
13311
158.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12142
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3300
25.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
25971
207.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33233
42.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24508
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37880
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3219
118.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5783
214.1 IPS |
|
|
Text Classification (SP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
903
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1990
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
999
17.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5306
106.6 IPS |
