Micro-Star International Co., Ltd. MS-7D96
Geekbench AI Score
3623
Single Precision Score
1516
Half Precision Score
5421
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | December 15 2024 06:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13600K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D96 |
| Motherboard | Micro-Star International Co., Ltd. MAG B760 TOMAHAWK WIFI DDR4 (MS-7D96) |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
489
90.8 IPS |
|
|
Image Classification (Q)
|
99% |
4053
755.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3744
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7253
8.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
4522
5.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
25436
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.7 IPS |
|
|
Object Detection (HP)
|
100% |
709
56.2 IPS |
|
|
Object Detection (Q)
|
88% |
2428
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
3479
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
4422
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7953
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2044
15.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
9238
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16883
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11109
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
21759
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3207
118.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2119
78.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
1872
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
664
886.9 IPS |
|
|
Text Classification (Q)
|
97% |
1753
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
737
12.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2902
64.7 IPS |
