Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
36534
Single Precision Score
59046
Half Precision Score
27005
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | April 11 2025 07:20 AM |
| Views | 15 |
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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
14471
2.69 KIPS |
|
|
Image Classification (HP)
|
100% |
20302
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
11694
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24790
401.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34742
563.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
23752
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
240418
280.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
714755
834.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
203372
238.5 IPS |
|
|
Object Detection (SP)
|
100% |
20094
1.59 KIPS |
|
|
Object Detection (HP)
|
100% |
30143
2.39 KIPS |
|
|
Object Detection (Q)
|
89% |
16003
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
51770
615.1 IPS |
|
|
Face Detection (HP)
|
100% |
69324
823.7 IPS |
|
|
Face Detection (Q)
|
97% |
41526
495.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
92536
712.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
152142
1.17 KIPS |
|
|
Depth Estimation (Q)
|
76% |
66775
536.8 IPS |
|
|
Style Transfer (SP)
|
100% |
352354
453.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1181337
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
309986
399.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58886
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87674
3.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43347
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3912
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4926
6.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2400
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6287
108.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6300
108.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2552
56.9 IPS |
