Micro-Star International Co., Ltd. Thin 15 B13UDX
Geekbench AI Score
2746
Single Precision Score
1389
Half Precision Score
5675
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | vinku |
| Upload Date | March 28 2026 08:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13420H |
| 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% |
2148
399.5 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
99% |
4006
747.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5985
97.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4183
4.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3354
3.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
14570
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2062
163.6 IPS |
|
|
Object Detection (HP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (Q)
|
86% |
4476
359.7 IPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
1420
16.9 IPS |
|
|
Face Detection (Q)
|
97% |
7440
88.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5570
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2061
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
11133
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9895
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8167
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15631
20.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4507
166.9 IPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
765
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1565
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1684
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2427
48.8 IPS |
