Micro-Star International Co., Ltd. Katana GF66 11UD
Geekbench AI Score
9974
Single Precision Score
19015
Half Precision Score
7045
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 08:26 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF66 11UD |
| Motherboard | Micro-Star International Co., Ltd. MS-1582 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4261
792.4 IPS |
|
|
Image Classification (HP)
|
99% |
7814
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
3488
650.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6409
103.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10640
172.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5294
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
40808
47.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
146390
170.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
34407
40.3 IPS |
|
|
Object Detection (SP)
|
100% |
5129
406.9 IPS |
|
|
Object Detection (HP)
|
100% |
10263
814.1 IPS |
|
|
Object Detection (Q)
|
84% |
4167
336.1 IPS |
|
|
Face Detection (SP)
|
100% |
10739
127.6 IPS |
|
|
Face Detection (HP)
|
100% |
19271
229.0 IPS |
|
|
Face Detection (Q)
|
97% |
8970
107.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
23400
180.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52215
403.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
17103
137.1 IPS |
|
|
Style Transfer (SP)
|
100% |
73272
94.2 IPS |
|
|
Style Transfer (HP)
|
100% |
197840
254.3 IPS |
|
|
Style Transfer (Q)
|
98% |
58793
75.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14538
536.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27262
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8973
332.3 IPS |
|
|
Text Classification (SP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (HP)
|
99% |
2890
3.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1125
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3155
54.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1250
23.4 IPS |
