Micro-Star International Co., Ltd. MS-7E47
Geekbench AI Score
33799
Single Precision Score
58268
Half Precision Score
25568
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 12:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. X870 GAMING PLUS WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14292
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
21896
4.07 KIPS |
|
|
Image Classification (Q)
|
100% |
12586
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22660
367.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31803
515.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20781
337.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
176445
205.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
681381
795.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
159142
186.4 IPS |
|
|
Object Detection (SP)
|
100% |
18203
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
30255
2.40 KIPS |
|
|
Object Detection (Q)
|
86% |
15148
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
50161
596.0 IPS |
|
|
Face Detection (HP)
|
100% |
70492
837.6 IPS |
|
|
Face Detection (Q)
|
97% |
41329
492.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
88055
678.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
150305
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
64923
518.4 IPS |
|
|
Style Transfer (SP)
|
100% |
322313
414.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1044566
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
264982
341.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49583
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84674
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37675
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4221
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2440
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6279
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6313
108.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2898
54.3 IPS |
