Micro-Star International Co., Ltd. Thin 15 B13VE
Geekbench AI Score
2649
Single Precision Score
1260
Half Precision Score
4922
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:07 PM |
| Views | 5 |
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 | Equilibrado |
| 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% |
1974
367.1 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.6 IPS |
|
|
Image Classification (Q)
|
99% |
4061
757.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
780
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2661
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4256
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3155
3.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
14294
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2011
159.5 IPS |
|
|
Object Detection (HP)
|
100% |
609
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
4308
346.2 IPS |
|
|
Face Detection (SP)
|
100% |
3968
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
7074
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5599
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1878
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9556
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9793
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8010
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
14988
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1918
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3231
119.6 IPS |
|
|
Text Classification (SP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
710
947.2 IPS |
|
|
Text Classification (Q)
|
97% |
1630
2.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1585
27.3 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2353
47.3 IPS |
