Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
5305
Single Precision Score
1680
Half Precision Score
8408
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:40 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4338
806.8 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.4 IPS |
|
|
Image Classification (Q)
|
99% |
7196
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4319
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10195
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
4730
5.52 IPS |
|
|
Pose Estimation (Q)
|
94% |
33643
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
4039
320.4 IPS |
|
|
Object Detection (HP)
|
100% |
736
58.4 IPS |
|
|
Object Detection (Q)
|
86% |
7466
600.0 IPS |
|
|
Face Detection (SP)
|
100% |
11056
131.4 IPS |
|
|
Face Detection (HP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
11723
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12233
94.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2265
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
18502
147.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23200
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11870
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26361
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2217
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5733
212.3 IPS |
|
|
Text Classification (SP)
|
100% |
1832
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1906
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3622
72.8 IPS |
