Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5715
Single Precision Score
1696
Half Precision Score
8948
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 01:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| 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(R) Core(TM) i9-14900KS |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4759
885.1 IPS |
|
|
Image Classification (HP)
|
100% |
574
106.7 IPS |
|
|
Image Classification (Q)
|
99% |
7555
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2258
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1243
20.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4557
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11609
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4821
5.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
38056
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
4302
341.2 IPS |
|
|
Object Detection (HP)
|
100% |
772
61.3 IPS |
|
|
Object Detection (Q)
|
86% |
7900
634.9 IPS |
|
|
Face Detection (SP)
|
100% |
12022
142.8 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
12153
144.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13375
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2238
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20699
165.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26003
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12103
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28706
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2223
82.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6086
225.4 IPS |
|
|
Text Classification (SP)
|
100% |
1694
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1861
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3887
78.1 IPS |
