Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5633
Single Precision Score
1666
Half Precision Score
8643
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 01:00 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4601
855.6 IPS |
|
|
Image Classification (HP)
|
100% |
586
108.9 IPS |
|
|
Image Classification (Q)
|
99% |
7139
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4117
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11265
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4796
5.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
36515
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
4141
328.5 IPS |
|
|
Object Detection (HP)
|
100% |
768
60.9 IPS |
|
|
Object Detection (Q)
|
86% |
8233
661.7 IPS |
|
|
Face Detection (SP)
|
100% |
12184
144.8 IPS |
|
|
Face Detection (HP)
|
100% |
1804
21.4 IPS |
|
|
Face Detection (Q)
|
97% |
12330
147.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13072
100.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2201
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
19116
152.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25647
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11714
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27883
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4275
157.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5787
214.3 IPS |
|
|
Text Classification (SP)
|
100% |
1921
2.56 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1841
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2181
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3761
75.6 IPS |
