Micro-Star International Co., Ltd. Katana GF66 11UC
Geekbench AI Score
8242
Single Precision Score
15010
Half Precision Score
6076
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 08:44 AM |
| 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 Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF66 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-1582 |
| Power Plan | Ultimate Performance |
| 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% |
3622
673.5 IPS |
|
|
Image Classification (HP)
|
99% |
7218
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
3022
563.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5182
84.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7887
127.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4297
69.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33373
38.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
102158
119.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
29234
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
4115
326.4 IPS |
|
|
Object Detection (HP)
|
100% |
8292
657.8 IPS |
|
|
Object Detection (Q)
|
84% |
3466
279.5 IPS |
|
|
Face Detection (SP)
|
100% |
9160
108.8 IPS |
|
|
Face Detection (HP)
|
100% |
15496
184.1 IPS |
|
|
Face Detection (Q)
|
97% |
7744
92.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18690
144.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41544
320.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14256
113.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59077
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
167042
214.7 IPS |
|
|
Style Transfer (Q)
|
98% |
49732
64.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11964
441.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20972
774.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7866
291.3 IPS |
|
|
Text Classification (SP)
|
100% |
2056
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (Q)
|
97% |
1106
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1092
20.5 IPS |
