Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
32254
Single Precision Score
55291
Half Precision Score
24556
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 11:16 AM |
| Views | 3 |
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-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK MAX WIFI (MS-7E25) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13636
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
20184
3.75 KIPS |
|
|
Image Classification (Q)
|
100% |
12154
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23650
383.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
32892
533.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20856
339.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
160803
187.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
673986
786.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
142530
167.0 IPS |
|
|
Object Detection (SP)
|
100% |
16685
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
25992
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
13823
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
46147
548.3 IPS |
|
|
Face Detection (HP)
|
100% |
65160
774.2 IPS |
|
|
Face Detection (Q)
|
97% |
38971
464.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
80943
623.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
147535
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
60198
480.7 IPS |
|
|
Style Transfer (SP)
|
100% |
310692
399.4 IPS |
|
|
Style Transfer (HP)
|
100% |
998458
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
259014
334.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46640
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75237
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36635
1.36 KIPS |
|
|
Text Classification (SP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4979
6.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2450
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6446
111.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6386
110.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2928
54.9 IPS |
