Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
35944
Single Precision Score
58944
Half Precision Score
27445
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 01:12 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. Z790 GAMING PLUS 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14202
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
20972
3.90 KIPS |
|
|
Image Classification (Q)
|
100% |
12449
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26526
430.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
36230
587.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23739
386.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
235050
274.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
717652
837.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
201758
236.3 IPS |
|
|
Object Detection (SP)
|
100% |
17894
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
26047
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
15463
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
51045
606.5 IPS |
|
|
Face Detection (HP)
|
100% |
71684
851.8 IPS |
|
|
Face Detection (Q)
|
97% |
42665
508.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
89573
690.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
170767
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66787
533.3 IPS |
|
|
Style Transfer (SP)
|
100% |
345298
443.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1104421
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
301020
388.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55573
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83809
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42301
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (HP)
|
100% |
4832
6.45 KIPS |
|
|
Text Classification (Q)
|
97% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
6594
113.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6511
112.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2962
55.6 IPS |
