Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
38832
Single Precision Score
66979
Half Precision Score
28698
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 02 2025 09:33 PM |
| Views | 6 |
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, 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% |
15080
2.80 KIPS |
|
|
Image Classification (HP)
|
100% |
22603
4.20 KIPS |
|
|
Image Classification (Q)
|
100% |
13091
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30256
490.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
45768
741.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
26987
438.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
234105
273.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
730722
852.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
199252
233.4 IPS |
|
|
Object Detection (SP)
|
100% |
20810
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
32779
2.60 KIPS |
|
|
Object Detection (Q)
|
86% |
17453
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
60482
718.7 IPS |
|
|
Face Detection (HP)
|
100% |
93026
1.11 KIPS |
|
|
Face Detection (Q)
|
97% |
48332
576.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
90361
696.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
175954
1.36 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65940
526.6 IPS |
|
|
Style Transfer (SP)
|
100% |
345561
444.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1165461
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
299829
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58148
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93029
3.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42262
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
4078
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5274
7.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2400
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
7833
134.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7836
135.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3183
59.7 IPS |
