Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
32611
Single Precision Score
55431
Half Precision Score
24749
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 12:54 PM |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13361
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
20198
3.76 KIPS |
|
|
Image Classification (Q)
|
100% |
11920
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23706
384.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
32811
531.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
20983
341.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
172022
200.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
669144
780.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
156130
182.9 IPS |
|
|
Object Detection (SP)
|
100% |
16578
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
25733
2.04 KIPS |
|
|
Object Detection (Q)
|
86% |
13828
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
46418
551.5 IPS |
|
|
Face Detection (HP)
|
100% |
65059
773.0 IPS |
|
|
Face Detection (Q)
|
97% |
39285
468.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
85082
655.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
150843
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63305
505.5 IPS |
|
|
Style Transfer (SP)
|
100% |
309883
398.4 IPS |
|
|
Style Transfer (HP)
|
100% |
984383
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
257961
332.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46850
1.73 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76239
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35730
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
4064
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5044
6.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2393
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
6464
111.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6461
111.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2911
54.6 IPS |
