MSI MS-7D99 Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
5089
Single Precision Score
5130
Half Precision Score
12068
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 13 2025 12:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
3101
576.7 IPS |
|
|
Image Classification (HP)
|
100% |
3213
597.6 IPS |
|
|
Image Classification (Q)
|
100% |
7383
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4022
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4065
65.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7297
118.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6611
7.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
6614
7.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
24122
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2984
236.7 IPS |
|
|
Object Detection (HP)
|
100% |
3046
241.6 IPS |
|
|
Object Detection (Q)
|
88% |
7584
608.0 IPS |
|
|
Face Detection (SP)
|
100% |
5507
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
5523
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
18007
214.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8281
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8379
64.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
20004
155.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19532
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
19536
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
66151
85.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3942
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3970
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12739
471.8 IPS |
|
|
Text Classification (SP)
|
100% |
3128
4.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3132
4.18 KIPS |
|
|
Text Classification (Q)
|
92% |
5086
6.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4318
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4275
73.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4307
74.2 IPS |
