Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9207
Single Precision Score
17095
Half Precision Score
6553
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 03 2025 08:16 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
4021
747.7 IPS |
|
|
Image Classification (HP)
|
99% |
7334
1.37 KIPS |
|
|
Image Classification (Q)
|
99% |
3339
622.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6058
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10161
164.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5014
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
34914
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
107058
124.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29800
34.9 IPS |
|
|
Object Detection (SP)
|
100% |
4680
371.2 IPS |
|
|
Object Detection (HP)
|
100% |
9563
758.5 IPS |
|
|
Object Detection (Q)
|
84% |
3854
310.9 IPS |
|
|
Face Detection (SP)
|
100% |
10270
122.0 IPS |
|
|
Face Detection (HP)
|
100% |
18018
214.1 IPS |
|
|
Face Detection (Q)
|
97% |
8440
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21226
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
45806
352.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15794
126.5 IPS |
|
|
Style Transfer (SP)
|
100% |
61617
79.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173051
222.5 IPS |
|
|
Style Transfer (Q)
|
98% |
51250
66.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12411
458.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23323
861.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8062
298.5 IPS |
|
|
Text Classification (SP)
|
100% |
2166
2.89 KIPS |
|
|
Text Classification (HP)
|
99% |
2701
3.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1104
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1249
23.4 IPS |
