Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
36853
Single Precision Score
49342
Half Precision Score
28339
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | KingJ2 |
| Upload Date | January 25 2026 05:41 AM |
| Views | 10 |
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% |
13497
2.51 KIPS |
|
|
Image Classification (HP)
|
99% |
17510
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
11671
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20636
334.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24584
398.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19174
311.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
318514
371.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
548918
640.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
272648
319.5 IPS |
|
|
Object Detection (SP)
|
100% |
17472
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
21645
1.72 KIPS |
|
|
Object Detection (Q)
|
86% |
14932
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
47512
564.5 IPS |
|
|
Face Detection (HP)
|
100% |
56870
675.7 IPS |
|
|
Face Detection (Q)
|
97% |
41162
490.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
99326
765.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
156887
1.21 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73285
586.1 IPS |
|
|
Style Transfer (SP)
|
100% |
557913
717.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1019246
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
479433
618.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
60174
2.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79366
2.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45170
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
3845
5.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2266
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4895
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2478
46.5 IPS |
