Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
36410
Single Precision Score
59692
Half Precision Score
26930
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 05:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14148
2.63 KIPS |
|
|
Image Classification (HP)
|
100% |
20648
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
11977
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24994
405.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
34726
562.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
23478
381.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
240321
280.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
713821
832.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
204590
240.0 IPS |
|
|
Object Detection (SP)
|
100% |
20064
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
30851
2.45 KIPS |
|
|
Object Detection (Q)
|
89% |
16223
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
52498
623.8 IPS |
|
|
Face Detection (HP)
|
100% |
70831
841.6 IPS |
|
|
Face Detection (Q)
|
97% |
41894
499.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
90472
697.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
159307
1.23 KIPS |
|
|
Depth Estimation (Q)
|
76% |
64330
517.1 IPS |
|
|
Style Transfer (SP)
|
100% |
354141
455.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1166772
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
308566
397.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58084
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89555
3.31 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42929
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4785
6.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2358
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
6394
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6447
111.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2554
57.0 IPS |
