Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
39172
Single Precision Score
66674
Half Precision Score
29468
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 02 2025 08:04 PM |
| Views | 12 |
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 |
| 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% |
15450
2.87 KIPS |
|
|
Image Classification (HP)
|
100% |
23163
4.31 KIPS |
|
|
Image Classification (Q)
|
100% |
13478
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29511
478.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
43275
701.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
26893
437.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
243818
284.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
779882
910.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
206853
242.3 IPS |
|
|
Object Detection (SP)
|
100% |
20628
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
31538
2.50 KIPS |
|
|
Object Detection (Q)
|
86% |
17544
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
60323
716.8 IPS |
|
|
Face Detection (HP)
|
100% |
89471
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
49031
584.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
93723
722.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
182516
1.41 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69550
555.4 IPS |
|
|
Style Transfer (SP)
|
100% |
359621
462.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1201351
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
308912
398.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59188
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92473
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44539
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
4077
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5093
6.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2515
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7562
130.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7622
131.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3182
59.7 IPS |
