Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
6380
Single Precision Score
2446
Half Precision Score
11089
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceAceTACP |
| Upload Date | June 01 2025 07:37 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | 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% |
4329
805.1 IPS |
|
|
Image Classification (HP)
|
100% |
776
144.3 IPS |
|
|
Image Classification (Q)
|
99% |
10152
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2562
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4911
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16623
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11820
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
56037
65.7 IPS |
|
|
Object Detection (SP)
|
100% |
4722
374.6 IPS |
|
|
Object Detection (HP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (Q)
|
86% |
12042
967.8 IPS |
|
|
Face Detection (SP)
|
100% |
8670
103.0 IPS |
|
|
Face Detection (HP)
|
100% |
2247
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
13792
164.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14254
109.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3692
28.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
25013
199.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33018
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25731
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
38090
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3777
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3300
121.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5518
204.3 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2104
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3867
66.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5481
110.1 IPS |
