Micro-Star International Co., Ltd. MS-7E49
Geekbench AI Score
47418
Single Precision Score
69936
Half Precision Score
35138
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Lucky_n00b |
| Upload Date | February 09 2025 01:34 PM |
| Views | 20 |
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% |
17349
3.23 KIPS |
|
|
Image Classification (HP)
|
100% |
22485
4.18 KIPS |
|
|
Image Classification (Q)
|
100% |
15037
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30531
494.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
37777
612.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
29551
480.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
403737
471.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
920379
1.07 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316076
370.2 IPS |
|
|
Object Detection (SP)
|
100% |
25185
2.00 KIPS |
|
|
Object Detection (HP)
|
100% |
32622
2.59 KIPS |
|
|
Object Detection (Q)
|
85% |
20649
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
70383
836.3 IPS |
|
|
Face Detection (HP)
|
100% |
93210
1.11 KIPS |
|
|
Face Detection (Q)
|
97% |
56920
678.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
110514
851.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
193771
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
79113
633.7 IPS |
|
|
Style Transfer (SP)
|
100% |
637037
818.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1746204
2.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
534976
689.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78238
2.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100308
3.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54432
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
4295
5.73 KIPS |
|
|
Text Classification (HP)
|
100% |
5385
7.19 KIPS |
|
|
Text Classification (Q)
|
97% |
2505
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6409
110.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6443
111.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3012
56.5 IPS |
