MSI MS-7D99 Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
17186
Single Precision Score
28661
Half Precision Score
13673
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rennsport |
| Upload Date | March 13 2025 12:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| 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% |
7126
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
12563
2.34 KIPS |
|
|
Image Classification (Q)
|
99% |
6464
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11068
179.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14492
234.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10181
165.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
86009
100.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
234438
273.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
77548
90.9 IPS |
|
|
Object Detection (SP)
|
100% |
8738
693.1 IPS |
|
|
Object Detection (HP)
|
100% |
14844
1.18 KIPS |
|
|
Object Detection (Q)
|
84% |
7805
629.5 IPS |
|
|
Face Detection (SP)
|
100% |
20114
239.0 IPS |
|
|
Face Detection (HP)
|
100% |
31224
371.0 IPS |
|
|
Face Detection (Q)
|
97% |
18168
216.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
40080
308.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
81159
625.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
33328
266.6 IPS |
|
|
Style Transfer (SP)
|
100% |
144169
185.3 IPS |
|
|
Style Transfer (HP)
|
100% |
358409
460.7 IPS |
|
|
Style Transfer (Q)
|
98% |
125247
161.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28780
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46414
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21072
780.3 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
3961
5.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2019
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3536
60.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1778
33.4 IPS |
