Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
44679
Single Precision Score
66135
Half Precision Score
32777
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 10:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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% |
16524
3.07 KIPS |
|
|
Image Classification (HP)
|
100% |
20804
3.87 KIPS |
|
|
Image Classification (Q)
|
100% |
14052
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32483
526.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
40159
651.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
29663
482.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
383868
447.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
940076
1.10 KIPS |
|
|
Pose Estimation (Q)
|
96% |
304349
356.5 IPS |
|
|
Object Detection (SP)
|
100% |
21669
1.72 KIPS |
|
|
Object Detection (HP)
|
100% |
27393
2.17 KIPS |
|
|
Object Detection (Q)
|
85% |
18102
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
62206
739.1 IPS |
|
|
Face Detection (HP)
|
100% |
79227
941.4 IPS |
|
|
Face Detection (Q)
|
97% |
50309
599.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
102026
786.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
188631
1.45 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73147
585.9 IPS |
|
|
Style Transfer (SP)
|
100% |
572827
736.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1606200
2.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
446569
575.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
71952
2.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
94421
3.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52439
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
4048
5.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4969
6.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2471
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6705
115.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6607
113.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2927
54.9 IPS |
