Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
41418
Single Precision Score
68530
Half Precision Score
31052
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | QuickN |
| Upload Date | August 17 2025 09:34 PM |
| Views | 14 |
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 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% |
16131
3.00 KIPS |
|
|
Image Classification (HP)
|
100% |
23339
4.34 KIPS |
|
|
Image Classification (Q)
|
100% |
14150
2.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30132
488.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
42210
684.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
27193
442.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
265744
310.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
819331
956.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
225982
264.7 IPS |
|
|
Object Detection (SP)
|
100% |
21893
1.74 KIPS |
|
|
Object Detection (HP)
|
100% |
32966
2.61 KIPS |
|
|
Object Detection (Q)
|
86% |
18476
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
63997
760.4 IPS |
|
|
Face Detection (HP)
|
100% |
92285
1.10 KIPS |
|
|
Face Detection (Q)
|
97% |
51635
615.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
101425
781.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
189840
1.46 KIPS |
|
|
Depth Estimation (Q)
|
78% |
74561
595.4 IPS |
|
|
Style Transfer (SP)
|
100% |
395214
508.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1247392
1.60 KIPS |
|
|
Style Transfer (Q)
|
98% |
338827
436.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62141
2.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93595
3.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46948
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
4322
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2604
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
7626
131.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7705
132.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3254
61.0 IPS |
