Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
6451
Single Precision Score
1853
Half Precision Score
9433
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 31 2025 01:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KF |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5026
934.6 IPS |
|
|
Image Classification (HP)
|
100% |
661
122.8 IPS |
|
|
Image Classification (Q)
|
99% |
8072
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4389
71.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12847
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5299
6.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
38248
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
4940
391.8 IPS |
|
|
Object Detection (HP)
|
100% |
872
69.1 IPS |
|
|
Object Detection (Q)
|
86% |
8929
717.6 IPS |
|
|
Face Detection (SP)
|
100% |
13914
165.3 IPS |
|
|
Face Detection (HP)
|
100% |
2029
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
13621
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14545
112.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2424
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
20712
165.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27946
35.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13248
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
32165
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4727
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2500
92.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6116
226.5 IPS |
|
|
Text Classification (SP)
|
100% |
2011
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
888
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1916
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2788
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
958
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4340
87.2 IPS |
