Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5668
Single Precision Score
1729
Half Precision Score
8872
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 11:32 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4804
893.5 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.0 IPS |
|
|
Image Classification (Q)
|
99% |
7097
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4501
73.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11435
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4876
5.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
37981
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
4331
343.5 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
8051
647.0 IPS |
|
|
Face Detection (SP)
|
100% |
11815
140.4 IPS |
|
|
Face Detection (HP)
|
100% |
1937
23.0 IPS |
|
|
Face Detection (Q)
|
97% |
11173
133.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13169
101.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2288
17.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20230
161.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25968
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12179
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
30529
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4009
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6067
224.6 IPS |
|
|
Text Classification (SP)
|
100% |
1876
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
896
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3922
78.8 IPS |
