Micro-Star International Co., Ltd. Thin 15 B13VE
Geekbench AI Score
2014
Single Precision Score
992
Half Precision Score
4290
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Munshat9 |
| Upload Date | December 10 2025 04:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin 15 B13VE |
| Motherboard | Micro-Star International Co., Ltd. MS-16R8 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1799
334.5 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.1 IPS |
|
|
Image Classification (Q)
|
99% |
3534
659.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
694
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4931
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3735
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2865
3.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
12767
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1205
95.6 IPS |
|
|
Object Detection (HP)
|
100% |
400
31.8 IPS |
|
|
Object Detection (Q)
|
86% |
2235
179.7 IPS |
|
|
Face Detection (SP)
|
100% |
2012
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
778
9.25 IPS |
|
|
Face Detection (Q)
|
97% |
5672
67.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4764
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1560
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9564
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8997
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7004
9.00 IPS |
|
|
Style Transfer (Q)
|
98% |
12976
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
843
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2765
102.4 IPS |
|
|
Text Classification (SP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
533
711.4 IPS |
|
|
Text Classification (Q)
|
97% |
1175
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1274
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
1858
37.3 IPS |
