Micro-Star International Co., Ltd. Katana GF66 11UD
Geekbench AI Score
10213
Single Precision Score
19451
Half Precision Score
7128
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 05:37 PM |
| Views | 6 |
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% |
4403
818.7 IPS |
|
|
Image Classification (HP)
|
99% |
8077
1.51 KIPS |
|
|
Image Classification (Q)
|
99% |
3534
659.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6624
107.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11122
180.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5460
88.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
40789
47.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
148763
173.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
34718
40.7 IPS |
|
|
Object Detection (SP)
|
100% |
5243
415.9 IPS |
|
|
Object Detection (HP)
|
100% |
10552
837.0 IPS |
|
|
Object Detection (Q)
|
84% |
4098
330.6 IPS |
|
|
Face Detection (SP)
|
100% |
11137
132.3 IPS |
|
|
Face Detection (HP)
|
100% |
19836
235.7 IPS |
|
|
Face Detection (Q)
|
97% |
9091
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23974
184.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52921
408.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
17334
139.0 IPS |
|
|
Style Transfer (SP)
|
100% |
73141
94.0 IPS |
|
|
Style Transfer (HP)
|
100% |
197351
253.7 IPS |
|
|
Style Transfer (Q)
|
98% |
59583
76.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14904
550.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27557
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9039
334.7 IPS |
|
|
Text Classification (SP)
|
100% |
2199
2.93 KIPS |
|
|
Text Classification (HP)
|
99% |
2967
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1130
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3247
55.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1287
24.1 IPS |
