Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
40009
Single Precision Score
68475
Half Precision Score
30117
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | raylee930 |
| Upload Date | August 28 2025 11:45 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| 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% |
15618
2.90 KIPS |
|
|
Image Classification (HP)
|
100% |
23129
4.30 KIPS |
|
|
Image Classification (Q)
|
100% |
13609
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31325
507.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
46957
761.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
28216
458.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
247546
288.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
793155
925.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
211499
247.7 IPS |
|
|
Object Detection (SP)
|
100% |
21341
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
32410
2.57 KIPS |
|
|
Object Detection (Q)
|
86% |
18165
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
61616
732.1 IPS |
|
|
Face Detection (HP)
|
100% |
94582
1.12 KIPS |
|
|
Face Detection (Q)
|
97% |
49885
594.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
95105
732.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
183270
1.41 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69890
558.1 IPS |
|
|
Style Transfer (SP)
|
100% |
363904
467.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1229432
1.58 KIPS |
|
|
Style Transfer (Q)
|
98% |
314077
405.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59366
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92286
3.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44881
1.66 KIPS |
|
|
Text Classification (SP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5192
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2560
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
7969
137.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7950
136.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3308
62.0 IPS |
