MSI MS-7D99 Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
4377
Single Precision Score
1631
Half Precision Score
7290
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 13 2025 12:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI (MS-7D99) |
| Power Plan | Hiu sut Cao nht |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3383
629.2 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
99% |
6438
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1014
16.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3676
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7457
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
4715
5.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
26289
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3176
251.9 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
86% |
6345
509.9 IPS |
|
|
Face Detection (SP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (HP)
|
100% |
1794
21.3 IPS |
|
|
Face Detection (Q)
|
97% |
10019
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9629
74.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2232
17.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15956
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17804
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11543
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
24055
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3086
113.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2218
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4418
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
1788
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1981
2.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3195
64.2 IPS |
