Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
37533
Single Precision Score
62157
Half Precision Score
28536
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | kazukied2 |
| Upload Date | December 27 2025 05:08 AM |
| 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 |
| 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% |
14934
2.78 KIPS |
|
|
Image Classification (HP)
|
100% |
21945
4.08 KIPS |
|
|
Image Classification (Q)
|
100% |
13289
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27478
445.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
38586
625.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
25141
408.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
241659
282.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
737266
860.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
207069
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
19796
1.57 KIPS |
|
|
Object Detection (HP)
|
100% |
29423
2.33 KIPS |
|
|
Object Detection (Q)
|
86% |
16752
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
58694
697.4 IPS |
|
|
Face Detection (HP)
|
100% |
85634
1.02 KIPS |
|
|
Face Detection (Q)
|
97% |
47987
572.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
93154
717.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
172616
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68776
549.2 IPS |
|
|
Style Transfer (SP)
|
100% |
354892
456.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1157002
1.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
308831
398.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55869
2.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86035
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42490
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2401
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
6793
117.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6757
116.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2972
55.7 IPS |
