Micro-Star International Co., Ltd. Thin 15 B13VE
Geekbench AI Score
1766
Single Precision Score
1818
Half Precision Score
1198
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 15 2025 03:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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 | CPU Lab - Battery Testing |
| 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% |
774
144.0 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.2 IPS |
|
|
Image Classification (Q)
|
100% |
668
124.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
856
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4897
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
6429
7.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
3387
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
897
71.2 IPS |
|
|
Object Detection (HP)
|
98% |
782
62.2 IPS |
|
|
Object Detection (Q)
|
86% |
749
60.2 IPS |
|
|
Face Detection (SP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
1306
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3554
27.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4093
31.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2607
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13437
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
18118
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
9336
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2011
74.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
391
522.5 IPS |
|
|
Text Classification (Q)
|
97% |
386
516.5 IPS |
|
|
Machine Translation (SP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
70% |
343
6.43 IPS |
