Micro-Star International Co., Ltd. Thin 15 B13UDX
Geekbench AI Score
2068
Single Precision Score
2083
Half Precision Score
1363
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | March 28 2026 08:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Thin 15 B13UDX |
| Motherboard | Micro-Star International Co., Ltd. MS-16R8 |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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% |
908
168.8 IPS |
|
|
Image Classification (HP)
|
100% |
904
168.1 IPS |
|
|
Image Classification (Q)
|
100% |
772
143.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
955
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6403
7.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
7323
8.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
4070
4.77 IPS |
|
|
Object Detection (SP)
|
100% |
1002
79.5 IPS |
|
|
Object Detection (HP)
|
98% |
858
68.2 IPS |
|
|
Object Detection (Q)
|
86% |
849
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
1997
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
2274
27.0 IPS |
|
|
Face Detection (Q)
|
97% |
1465
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3809
29.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4235
32.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2770
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13947
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18751
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9770
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2328
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3048
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1104
40.9 IPS |
|
|
Text Classification (SP)
|
100% |
919
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
432
576.7 IPS |
|
|
Text Classification (Q)
|
97% |
466
624.5 IPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
70% |
428
8.03 IPS |
