Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
10437
Single Precision Score
10452
Half Precision Score
28432
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 02 2025 09:37 PM |
| Views | 4 |
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 | Ultimate Performance |
| 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% |
6867
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
6726
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
18163
3.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7150
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7169
116.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19055
308.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12871
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12866
15.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
51979
60.9 IPS |
|
|
Object Detection (SP)
|
100% |
6444
511.1 IPS |
|
|
Object Detection (HP)
|
100% |
6442
511.0 IPS |
|
|
Object Detection (Q)
|
88% |
18740
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
12795
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
12754
151.6 IPS |
|
|
Face Detection (Q)
|
100% |
43950
522.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15370
118.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15787
121.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
49568
385.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36307
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36048
46.3 IPS |
|
|
Style Transfer (Q)
|
98% |
137738
177.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8552
315.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8562
316.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26674
987.9 IPS |
|
|
Text Classification (SP)
|
100% |
5881
7.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5913
7.89 KIPS |
|
|
Text Classification (Q)
|
92% |
9286
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
10488
180.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10605
182.7 IPS |
|
|
Machine Translation (Q)
|
100% |
13781
237.4 IPS |
