Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
10423
Single Precision Score
10498
Half Precision Score
28606
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 02 2025 09:26 PM |
| Views | 5 |
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, 6 Cores |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6902
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
6935
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
18246
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7246
117.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7360
119.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
19235
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12671
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12898
15.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
51961
60.8 IPS |
|
|
Object Detection (SP)
|
100% |
6513
516.6 IPS |
|
|
Object Detection (HP)
|
100% |
6503
515.8 IPS |
|
|
Object Detection (Q)
|
88% |
19115
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
13270
157.7 IPS |
|
|
Face Detection (HP)
|
100% |
13294
158.0 IPS |
|
|
Face Detection (Q)
|
100% |
44551
529.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15613
120.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15430
118.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
49895
388.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35007
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36269
46.6 IPS |
|
|
Style Transfer (Q)
|
98% |
136577
176.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8295
306.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8487
313.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26548
983.2 IPS |
|
|
Text Classification (SP)
|
100% |
5870
7.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5882
7.85 KIPS |
|
|
Text Classification (Q)
|
92% |
9310
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
10383
178.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10231
176.2 IPS |
|
|
Machine Translation (Q)
|
100% |
14028
241.6 IPS |
