Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
9979
Single Precision Score
10110
Half Precision Score
26048
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 05:42 AM |
| Views | 2 |
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% |
5395
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5950
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
14675
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7159
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6878
111.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20127
326.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18192
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18463
21.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
74761
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
5514
437.4 IPS |
|
|
Object Detection (HP)
|
100% |
5762
457.0 IPS |
|
|
Object Detection (Q)
|
88% |
15578
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
12560
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
12959
154.0 IPS |
|
|
Face Detection (Q)
|
100% |
42278
502.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17008
131.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16924
130.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
44850
349.0 IPS |
|
|
Style Transfer (SP)
|
100% |
48649
62.5 IPS |
|
|
Style Transfer (HP)
|
100% |
49544
63.7 IPS |
|
|
Style Transfer (Q)
|
98% |
176637
227.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9598
354.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9731
359.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30211
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3789
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
92% |
5064
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6693
115.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6160
106.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8159
140.5 IPS |
