Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9333
Single Precision Score
17456
Half Precision Score
6673
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 03:47 PM |
| Views | 6 |
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% |
4080
758.7 IPS |
|
|
Image Classification (HP)
|
99% |
7390
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
3371
628.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6206
100.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10246
166.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5095
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
35938
41.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
111865
130.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
30794
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
4814
381.8 IPS |
|
|
Object Detection (HP)
|
100% |
9792
776.7 IPS |
|
|
Object Detection (Q)
|
84% |
3947
318.4 IPS |
|
|
Face Detection (SP)
|
100% |
10414
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
18313
217.6 IPS |
|
|
Face Detection (Q)
|
97% |
8530
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22135
170.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47207
363.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
16319
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
62604
80.5 IPS |
|
|
Style Transfer (HP)
|
100% |
184257
236.9 IPS |
|
|
Style Transfer (Q)
|
98% |
52722
68.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12794
472.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23868
881.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8076
299.1 IPS |
|
|
Text Classification (SP)
|
100% |
1980
2.64 KIPS |
|
|
Text Classification (HP)
|
99% |
2607
3.48 KIPS |
|
|
Text Classification (Q)
|
97% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3133
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3196
55.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1274
23.9 IPS |
