Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
37281
Single Precision Score
63142
Half Precision Score
27850
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 01 2025 07:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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% |
14401
2.68 KIPS |
|
|
Image Classification (HP)
|
100% |
21349
3.97 KIPS |
|
|
Image Classification (Q)
|
100% |
12579
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28790
466.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
42706
692.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
26033
423.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
231201
269.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
715161
834.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
197955
231.9 IPS |
|
|
Object Detection (SP)
|
100% |
19664
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
30893
2.45 KIPS |
|
|
Object Detection (Q)
|
86% |
16654
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
58725
697.8 IPS |
|
|
Face Detection (HP)
|
100% |
83993
998.0 IPS |
|
|
Face Detection (Q)
|
97% |
46745
557.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
89208
687.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
172000
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65189
520.6 IPS |
|
|
Style Transfer (SP)
|
100% |
342732
440.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1137212
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
296593
382.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55810
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87278
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40991
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4694
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2260
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
7402
127.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7431
128.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3106
58.3 IPS |
