Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
10573
Single Precision Score
11018
Half Precision Score
26636
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | kazukied2 |
| Upload Date | December 27 2025 05:06 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 |
| 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% |
6054
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
5954
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
14636
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7548
122.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8160
132.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
21149
342.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18322
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18859
22.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
73433
86.0 IPS |
|
|
Object Detection (SP)
|
100% |
6439
510.8 IPS |
|
|
Object Detection (HP)
|
100% |
6938
550.3 IPS |
|
|
Object Detection (Q)
|
88% |
15761
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
14675
174.4 IPS |
|
|
Face Detection (HP)
|
100% |
16869
200.4 IPS |
|
|
Face Detection (Q)
|
100% |
43183
513.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17019
131.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
16812
129.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
49044
381.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49226
63.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50265
64.6 IPS |
|
|
Style Transfer (Q)
|
98% |
187546
241.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10131
374.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10417
384.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30800
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5208
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
7145
123.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7100
122.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7877
135.7 IPS |
