Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
41238
Single Precision Score
59494
Half Precision Score
31081
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 06:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16412
3.05 KIPS |
|
|
Image Classification (HP)
|
100% |
20710
3.85 KIPS |
|
|
Image Classification (Q)
|
100% |
14106
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23810
386.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
27862
451.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22335
363.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
368394
429.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
850759
992.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
302382
354.2 IPS |
|
|
Object Detection (SP)
|
100% |
21025
1.67 KIPS |
|
|
Object Detection (HP)
|
100% |
26410
2.09 KIPS |
|
|
Object Detection (Q)
|
85% |
17797
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
52805
627.4 IPS |
|
|
Face Detection (HP)
|
100% |
64574
767.3 IPS |
|
|
Face Detection (Q)
|
97% |
44187
526.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
99192
764.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
181035
1.39 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71443
572.2 IPS |
|
|
Style Transfer (SP)
|
100% |
557262
716.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1507965
1.94 KIPS |
|
|
Style Transfer (Q)
|
98% |
467844
603.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70572
2.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
92794
3.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51428
1.90 KIPS |
|
|
Text Classification (SP)
|
100% |
4332
5.78 KIPS |
|
|
Text Classification (HP)
|
100% |
5015
6.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2466
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2650
49.7 IPS |
