Micro-Star International Co., Ltd. MS-7E51
Geekbench AI Score
39662
Single Precision Score
67506
Half Precision Score
29787
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | October 29 2025 09:25 AM |
| Views | 5 |
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-7E51 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870 TOMAHAWK WIFI (MS-7E51) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15274
2.84 KIPS |
|
|
Image Classification (HP)
|
100% |
22984
4.27 KIPS |
|
|
Image Classification (Q)
|
100% |
13414
2.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30829
499.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
45599
739.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
27902
453.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
244752
285.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
785731
916.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
209082
244.9 IPS |
|
|
Object Detection (SP)
|
100% |
21107
1.67 KIPS |
|
|
Object Detection (HP)
|
100% |
33112
2.63 KIPS |
|
|
Object Detection (Q)
|
86% |
17886
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
62063
737.4 IPS |
|
|
Face Detection (HP)
|
100% |
92452
1.10 KIPS |
|
|
Face Detection (Q)
|
97% |
50117
597.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
93806
722.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
180365
1.39 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69500
555.0 IPS |
|
|
Style Transfer (SP)
|
100% |
363350
467.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1196013
1.54 KIPS |
|
|
Style Transfer (Q)
|
98% |
313060
403.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59143
2.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92523
3.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44423
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4995
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2494
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7932
136.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7820
134.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3252
61.0 IPS |
