Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5667
Single Precision Score
1681
Half Precision Score
8955
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 05:47 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. PRO Z790-P 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4723
878.3 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.7 IPS |
|
|
Image Classification (Q)
|
99% |
7381
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4560
74.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11543
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4822
5.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
37865
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
4266
338.4 IPS |
|
|
Object Detection (HP)
|
100% |
777
61.6 IPS |
|
|
Object Detection (Q)
|
86% |
8094
650.5 IPS |
|
|
Face Detection (SP)
|
100% |
11699
139.0 IPS |
|
|
Face Detection (HP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
12358
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13399
103.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2202
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
20184
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26490
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12027
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30199
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4072
150.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2256
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6075
225.0 IPS |
|
|
Text Classification (SP)
|
100% |
1716
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
742
990.4 IPS |
|
|
Text Classification (Q)
|
97% |
1836
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
868
14.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3827
76.9 IPS |
