Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
46917
Single Precision Score
69698
Half Precision Score
34763
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 17 2026 04:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 i7-14700KF |
| 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% |
17462
3.25 KIPS |
|
|
Image Classification (HP)
|
100% |
22874
4.25 KIPS |
|
|
Image Classification (Q)
|
100% |
14891
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35605
577.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
44723
725.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
32229
524.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
401942
469.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
961119
1.12 KIPS |
|
|
Pose Estimation (Q)
|
96% |
323941
379.5 IPS |
|
|
Object Detection (SP)
|
100% |
22680
1.80 KIPS |
|
|
Object Detection (HP)
|
100% |
28906
2.29 KIPS |
|
|
Object Detection (Q)
|
85% |
18872
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
65376
776.8 IPS |
|
|
Face Detection (HP)
|
100% |
86622
1.03 KIPS |
|
|
Face Detection (Q)
|
97% |
54143
645.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
106520
820.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
190913
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76944
616.3 IPS |
|
|
Style Transfer (SP)
|
100% |
587670
755.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1625465
2.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
497611
641.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74416
2.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98322
3.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53935
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
4390
5.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5296
7.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2509
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6820
117.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6801
117.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3132
58.7 IPS |
