Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
10401
Single Precision Score
10695
Half Precision Score
27517
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 01 2025 07:42 PM |
| Views | 7 |
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 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% |
5611
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
5932
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
15447
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6881
111.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7610
123.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21909
355.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17934
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18314
21.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
74732
87.5 IPS |
|
|
Object Detection (SP)
|
100% |
6906
547.8 IPS |
|
|
Object Detection (HP)
|
100% |
6849
543.3 IPS |
|
|
Object Detection (Q)
|
88% |
16320
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
13535
160.8 IPS |
|
|
Face Detection (HP)
|
100% |
14034
166.8 IPS |
|
|
Face Detection (Q)
|
100% |
43811
520.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16416
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17374
133.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
50881
396.0 IPS |
|
|
Style Transfer (SP)
|
100% |
49496
63.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50873
65.4 IPS |
|
|
Style Transfer (Q)
|
98% |
193506
249.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9951
367.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10190
376.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30346
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3877
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3762
5.02 KIPS |
|
|
Text Classification (Q)
|
92% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
7305
125.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7277
125.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8664
149.2 IPS |
