Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9066
Single Precision Score
16938
Half Precision Score
6498
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 11:59 AM |
| Views | 2 |
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% |
4011
746.0 IPS |
|
|
Image Classification (HP)
|
99% |
7457
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
3280
611.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6013
97.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10062
163.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4947
80.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
34153
39.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
106073
123.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29482
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4612
365.8 IPS |
|
|
Object Detection (HP)
|
100% |
9746
773.1 IPS |
|
|
Object Detection (Q)
|
84% |
3774
304.4 IPS |
|
|
Face Detection (SP)
|
100% |
10226
121.5 IPS |
|
|
Face Detection (HP)
|
100% |
18052
214.5 IPS |
|
|
Face Detection (Q)
|
97% |
8394
100.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21204
163.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46535
358.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
15807
126.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59102
76.0 IPS |
|
|
Style Transfer (HP)
|
100% |
175941
226.2 IPS |
|
|
Style Transfer (Q)
|
98% |
50355
64.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12552
463.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21861
807.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8123
300.8 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
99% |
2466
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1100
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3077
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1246
23.4 IPS |
