Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
41690
Single Precision Score
68985
Half Precision Score
31293
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | September 11 2025 04:07 PM |
| 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-7E49 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E CARBON WIFI (MS-7E49) |
| Power Plan | Storage Benchmark Power Scheme based on Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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% |
16337
3.04 KIPS |
|
|
Image Classification (HP)
|
100% |
23631
4.39 KIPS |
|
|
Image Classification (Q)
|
100% |
14200
2.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30214
489.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
42285
685.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
27345
444.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
266226
310.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
823021
960.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
227257
266.2 IPS |
|
|
Object Detection (SP)
|
100% |
22042
1.75 KIPS |
|
|
Object Detection (HP)
|
100% |
33192
2.63 KIPS |
|
|
Object Detection (Q)
|
86% |
18499
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
64208
762.9 IPS |
|
|
Face Detection (HP)
|
100% |
92669
1.10 KIPS |
|
|
Face Detection (Q)
|
97% |
52063
620.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
102016
786.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
190525
1.47 KIPS |
|
|
Depth Estimation (Q)
|
78% |
75083
599.6 IPS |
|
|
Style Transfer (SP)
|
100% |
398085
511.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1258390
1.62 KIPS |
|
|
Style Transfer (Q)
|
98% |
341932
440.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62501
2.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94500
3.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47348
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
4401
5.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2658
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
7635
131.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7689
132.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3280
61.5 IPS |
