Micro-Star International Co., Ltd. MS-7E06
Geekbench AI Score
4874
Single Precision Score
1155
Half Precision Score
10247
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | s-goude-surgar |
| Upload Date | October 20 2025 11:50 AM |
| Views | 6 |
| Notes | onnx - framework 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900KF |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.18 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2928
544.5 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.8 IPS |
|
|
Image Classification (Q)
|
97% |
9565
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2249
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
5194
84.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8901
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4438
5.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
32249
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
3060
242.7 IPS |
|
|
Object Detection (HP)
|
100% |
394
31.2 IPS |
|
|
Object Detection (Q)
|
86% |
9690
778.8 IPS |
|
|
Face Detection (SP)
|
100% |
5331
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
589
7.00 IPS |
|
|
Face Detection (Q)
|
97% |
24466
291.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9601
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1585
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20815
166.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22111
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11405
14.7 IPS |
|
|
Style Transfer (Q)
|
98% |
27062
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4205
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7033
260.4 IPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3767
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4552
91.5 IPS |
