Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
17226
Single Precision Score
21235
Half Precision Score
14644
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 12:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| 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 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6925
1.29 KIPS |
|
|
Image Classification (HP)
|
99% |
8006
1.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6391
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5598
90.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5936
96.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5453
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
191123
223.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
284686
332.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
173827
203.7 IPS |
|
|
Object Detection (SP)
|
100% |
7107
563.7 IPS |
|
|
Object Detection (HP)
|
100% |
8144
645.9 IPS |
|
|
Object Detection (Q)
|
85% |
6596
530.6 IPS |
|
|
Face Detection (SP)
|
100% |
15971
189.8 IPS |
|
|
Face Detection (HP)
|
100% |
17180
204.1 IPS |
|
|
Face Detection (Q)
|
97% |
14988
178.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
57076
439.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87623
677.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
46069
367.9 IPS |
|
|
Style Transfer (SP)
|
100% |
262169
337.0 IPS |
|
|
Style Transfer (HP)
|
100% |
416610
535.6 IPS |
|
|
Style Transfer (Q)
|
98% |
240626
310.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35002
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41856
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28568
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
4262
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2143
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1523
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1116
20.9 IPS |
