Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5722
Single Precision Score
1697
Half Precision Score
8788
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 08 2025 06:34 AM |
| Views | 4 |
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% |
4784
889.7 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (Q)
|
99% |
7314
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1948
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4552
74.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11566
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4882
5.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
35999
42.2 IPS |
|
|
Object Detection (SP)
|
100% |
4426
351.0 IPS |
|
|
Object Detection (HP)
|
100% |
752
59.6 IPS |
|
|
Object Detection (Q)
|
86% |
8210
659.9 IPS |
|
|
Face Detection (SP)
|
100% |
12426
147.6 IPS |
|
|
Face Detection (HP)
|
100% |
1884
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
11964
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13365
103.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2155
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19849
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26498
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12085
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29620
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4378
161.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5591
207.0 IPS |
|
|
Text Classification (SP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1835
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
891
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3870
77.8 IPS |
