Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
5448
Single Precision Score
1707
Half Precision Score
8498
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 01:30 PM |
| Views | 5 |
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% |
4469
831.0 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.3 IPS |
|
|
Image Classification (Q)
|
99% |
7396
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2264
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1166
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4155
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10394
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4845
5.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
34758
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
4060
322.0 IPS |
|
|
Object Detection (HP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
7394
594.3 IPS |
|
|
Face Detection (SP)
|
100% |
11150
132.5 IPS |
|
|
Face Detection (HP)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
11872
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12309
94.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2307
17.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
18925
151.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23722
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11892
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26937
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3608
133.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2212
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5772
213.7 IPS |
|
|
Text Classification (SP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1901
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2360
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3746
75.3 IPS |
