Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
5786
Single Precision Score
2485
Half Precision Score
11387
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | kazukied2 |
| Upload Date | December 27 2025 05:03 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| 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 |
| 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% |
4330
805.3 IPS |
|
|
Image Classification (HP)
|
100% |
827
153.9 IPS |
|
|
Image Classification (Q)
|
99% |
10035
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15398
250.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13350
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10390
12.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
51697
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
4441
352.3 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
86% |
12180
978.9 IPS |
|
|
Face Detection (SP)
|
100% |
8888
105.6 IPS |
|
|
Face Detection (HP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
13815
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12856
99.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3594
27.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
25374
202.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27665
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22884
29.4 IPS |
|
|
Style Transfer (Q)
|
98% |
40022
51.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3571
131.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3169
117.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3585
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2123
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1801
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4162
83.6 IPS |
