Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9716
Single Precision Score
18169
Half Precision Score
6945
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 12:54 PM |
| 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% |
4262
792.6 IPS |
|
|
Image Classification (HP)
|
99% |
7856
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
3519
656.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6321
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10505
170.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5254
85.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37265
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
116650
136.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
32139
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4894
388.2 IPS |
|
|
Object Detection (HP)
|
100% |
10170
806.7 IPS |
|
|
Object Detection (Q)
|
84% |
4051
326.7 IPS |
|
|
Face Detection (SP)
|
100% |
10729
127.5 IPS |
|
|
Face Detection (HP)
|
100% |
18802
223.4 IPS |
|
|
Face Detection (Q)
|
97% |
8823
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22641
174.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49118
378.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
17011
136.2 IPS |
|
|
Style Transfer (SP)
|
100% |
67325
86.5 IPS |
|
|
Style Transfer (HP)
|
100% |
191254
245.9 IPS |
|
|
Style Transfer (Q)
|
98% |
55199
71.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13211
487.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23660
873.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8614
319.0 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
99% |
2947
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1166
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3150
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1305
24.5 IPS |
