Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
5831
Single Precision Score
1658
Half Precision Score
6649
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | CelteX86 |
| Upload Date | February 27 2025 09:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 160.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4708
875.5 IPS |
|
|
Image Classification (HP)
|
100% |
573
106.6 IPS |
|
|
Image Classification (Q)
|
99% |
7005
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3534
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12628
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5105
5.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
35336
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
4243
336.6 IPS |
|
|
Object Detection (HP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (Q)
|
86% |
6321
508.0 IPS |
|
|
Face Detection (SP)
|
100% |
11503
136.7 IPS |
|
|
Face Detection (HP)
|
100% |
1746
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
10042
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
13095
100.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2215
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17088
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26647
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12642
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23364
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4471
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5347
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
1965
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
506
677.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
782
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2817
56.6 IPS |
