Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
3173
Single Precision Score
1371
Half Precision Score
5613
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-A WIFI (MS-7D99) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2512
467.2 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
99% |
4957
924.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
930
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2836
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5089
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3654
4.26 IPS |
|
|
Pose Estimation (Q)
|
94% |
17795
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2229
176.8 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
5098
409.7 IPS |
|
|
Face Detection (SP)
|
100% |
5127
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
7744
92.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6567
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1864
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12081
96.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11983
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8817
11.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17055
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2379
87.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1747
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3702
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
1504
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1559
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1695
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2647
53.2 IPS |
