Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
6295
Single Precision Score
6431
Half Precision Score
14289
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 03:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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. PRO B760M-A 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% |
4579
851.6 IPS |
|
|
Image Classification (HP)
|
100% |
4583
852.2 IPS |
|
|
Image Classification (Q)
|
100% |
9201
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5136
83.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5181
84.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8586
139.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9182
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7586
8.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
33235
38.9 IPS |
|
|
Object Detection (SP)
|
100% |
4310
341.9 IPS |
|
|
Object Detection (HP)
|
100% |
4289
340.2 IPS |
|
|
Object Detection (Q)
|
88% |
10010
802.4 IPS |
|
|
Face Detection (SP)
|
100% |
7770
92.3 IPS |
|
|
Face Detection (HP)
|
100% |
12626
150.0 IPS |
|
|
Face Detection (Q)
|
100% |
24765
294.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11652
89.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11818
91.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
27889
216.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25169
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22394
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
49124
63.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5651
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5669
209.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16691
618.1 IPS |
|
|
Text Classification (SP)
|
100% |
1671
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1661
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
4684
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4880
84.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4983
85.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5091
87.7 IPS |
