Micro-Star International Co., Ltd. Thin 15 B13UDX
Geekbench AI Score
8807
Single Precision Score
17140
Half Precision Score
6047
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | March 28 2026 08:24 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| 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% |
3722
692.2 IPS |
|
|
Image Classification (HP)
|
99% |
7088
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
3050
568.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5364
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9364
151.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4357
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
35547
41.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
127703
149.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29136
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4331
343.5 IPS |
|
|
Object Detection (HP)
|
100% |
9196
729.5 IPS |
|
|
Object Detection (Q)
|
84% |
3553
286.6 IPS |
|
|
Face Detection (SP)
|
100% |
8720
103.6 IPS |
|
|
Face Detection (HP)
|
100% |
16283
193.5 IPS |
|
|
Face Detection (Q)
|
97% |
7030
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20655
159.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44067
340.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
14930
119.7 IPS |
|
|
Style Transfer (SP)
|
100% |
65542
84.3 IPS |
|
|
Style Transfer (HP)
|
100% |
183377
235.7 IPS |
|
|
Style Transfer (Q)
|
98% |
50219
64.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12261
452.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24374
900.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7571
280.4 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1048
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2828
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3088
53.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1137
21.3 IPS |
