Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
35763
Single Precision Score
47963
Half Precision Score
27467
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KingJ2 |
| Upload Date | February 10 2026 01:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE TI MAX WIFI (MS-7E25) |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13038
2.42 KIPS |
|
|
Image Classification (HP)
|
99% |
17192
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
11161
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20324
329.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24099
390.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
18864
306.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
307691
359.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
535946
625.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
266602
312.4 IPS |
|
|
Object Detection (SP)
|
100% |
17105
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
21144
1.68 KIPS |
|
|
Object Detection (Q)
|
86% |
14519
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
46417
551.5 IPS |
|
|
Face Detection (HP)
|
100% |
56264
668.5 IPS |
|
|
Face Detection (Q)
|
97% |
40404
481.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
97235
749.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
151291
1.17 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71425
571.3 IPS |
|
|
Style Transfer (SP)
|
100% |
537082
690.4 IPS |
|
|
Style Transfer (HP)
|
100% |
995366
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
461551
595.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57766
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76480
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43101
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3659
4.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4521
6.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2169
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4791
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4685
80.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2409
45.2 IPS |
