Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
47433
Single Precision Score
69786
Half Precision Score
35110
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Lucky_n00b |
| Upload Date | February 09 2025 07:23 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| 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 | High 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% |
17385
3.23 KIPS |
|
|
Image Classification (HP)
|
100% |
22561
4.20 KIPS |
|
|
Image Classification (Q)
|
100% |
14994
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30462
493.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
37725
611.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
29369
477.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
400923
467.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
913035
1.07 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316487
370.7 IPS |
|
|
Object Detection (SP)
|
100% |
24804
1.97 KIPS |
|
|
Object Detection (HP)
|
100% |
32100
2.55 KIPS |
|
|
Object Detection (Q)
|
85% |
20663
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
70487
837.5 IPS |
|
|
Face Detection (HP)
|
100% |
92119
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
56840
677.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
111762
861.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
195132
1.50 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78610
629.6 IPS |
|
|
Style Transfer (SP)
|
100% |
635211
816.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1763463
2.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
532335
686.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78813
2.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100531
3.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54704
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
4326
5.77 KIPS |
|
|
Text Classification (HP)
|
100% |
5320
7.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2508
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6417
110.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6479
111.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3029
56.8 IPS |
