Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2202
Single Precision Score
4582
Half Precision Score
1165
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF76 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-17L2 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (HP)
|
99% |
1180
220.0 IPS |
|
|
Image Classification (Q)
|
99% |
446
83.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
521
8.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
1003
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
417
6.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
36718
42.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
112974
131.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
31207
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4639
368.0 IPS |
|
|
Object Detection (HP)
|
100% |
9355
742.1 IPS |
|
|
Object Detection (Q)
|
84% |
3834
309.2 IPS |
|
|
Face Detection (SP)
|
100% |
10139
120.5 IPS |
|
|
Face Detection (HP)
|
100% |
16623
197.5 IPS |
|
|
Face Detection (Q)
|
97% |
619
7.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
2321
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5471
42.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1673
13.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8906
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28981
37.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5723
7.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3312
122.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
835
30.9 IPS |
|
|
Text Classification (SP)
|
100% |
470
627.6 IPS |
|
|
Text Classification (HP)
|
99% |
710
947.3 IPS |
|
|
Text Classification (Q)
|
97% |
229
306.2 IPS |
|
|
Machine Translation (SP)
|
100% |
455
7.85 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.07 IPS |
|
|
Machine Translation (Q)
|
70% |
183
3.43 IPS |
