Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
5413
Single Precision Score
1719
Half Precision Score
8448
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 09:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700F |
| 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 i7-14700F |
| 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% |
4477
832.5 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (Q)
|
99% |
7398
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4357
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10499
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4878
5.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
34774
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
4010
318.1 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
86% |
7311
587.5 IPS |
|
|
Face Detection (SP)
|
100% |
10614
126.1 IPS |
|
|
Face Detection (HP)
|
100% |
1874
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
11064
131.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12401
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2322
17.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19074
152.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23694
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11791
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
26809
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2342
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5757
213.2 IPS |
|
|
Text Classification (SP)
|
100% |
1924
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1834
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2231
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3784
76.0 IPS |
