Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
5299
Single Precision Score
1706
Half Precision Score
8275
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 05 2025 06:41 AM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4460
829.4 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.4 IPS |
|
|
Image Classification (Q)
|
99% |
7270
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4276
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10323
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4645
5.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
32514
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
3716
294.8 IPS |
|
|
Object Detection (HP)
|
100% |
810
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
7663
615.9 IPS |
|
|
Face Detection (SP)
|
100% |
9470
112.5 IPS |
|
|
Face Detection (HP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
11551
137.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12020
92.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2172
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18664
148.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23433
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11608
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21738
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3863
142.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2185
80.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5875
217.6 IPS |
|
|
Text Classification (SP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1896
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3726
74.9 IPS |
