Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9391
Single Precision Score
17424
Half Precision Score
6686
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | January 31 2026 12:38 PM |
| Views | 8 |
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
758.8 IPS |
|
|
Image Classification (HP)
|
99% |
7644
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
3350
624.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6120
99.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10310
167.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5113
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
35294
41.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
111563
130.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30105
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4770
378.4 IPS |
|
|
Object Detection (HP)
|
100% |
9954
789.5 IPS |
|
|
Object Detection (Q)
|
84% |
3910
315.3 IPS |
|
|
Face Detection (SP)
|
100% |
10414
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
18414
218.8 IPS |
|
|
Face Detection (Q)
|
97% |
8513
101.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21551
166.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47109
362.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16147
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
63547
81.7 IPS |
|
|
Style Transfer (HP)
|
100% |
170737
219.5 IPS |
|
|
Style Transfer (Q)
|
98% |
52473
67.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13122
484.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22553
832.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8380
310.3 IPS |
|
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2765
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3175
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3191
55.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1284
24.1 IPS |
