Micro-Star International Co., Ltd. US Desktop Aegis ZS2
Geekbench AI Score
33229
Single Precision Score
48589
Half Precision Score
25742
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 05 2025 11:39 PM |
| Views | 3 |
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% |
12846
2.39 KIPS |
|
|
Image Classification (HP)
|
99% |
18182
3.39 KIPS |
|
|
Image Classification (Q)
|
100% |
11087
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21096
342.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27053
438.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19766
321.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
255940
298.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
476146
555.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
225987
264.8 IPS |
|
|
Object Detection (SP)
|
100% |
16311
1.29 KIPS |
|
|
Object Detection (HP)
|
100% |
23055
1.83 KIPS |
|
|
Object Detection (Q)
|
85% |
14101
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
46464
552.1 IPS |
|
|
Face Detection (HP)
|
100% |
60264
716.1 IPS |
|
|
Face Detection (Q)
|
97% |
39793
474.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
76776
591.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
148429
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59817
477.7 IPS |
|
|
Style Transfer (SP)
|
100% |
388549
499.5 IPS |
|
|
Style Transfer (HP)
|
100% |
875637
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
339614
437.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52865
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71505
2.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39690
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4568
6.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5374
92.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5310
91.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2584
48.5 IPS |
