Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
6787
Single Precision Score
12869
Half Precision Score
4760
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 17 2025 11:48 AM |
| Views | 3 |
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% |
3099
576.4 IPS |
|
|
Image Classification (HP)
|
99% |
5935
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
2437
454.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4705
76.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8195
132.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3697
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24705
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
77885
90.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
21248
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
3363
266.8 IPS |
|
|
Object Detection (HP)
|
100% |
7347
582.7 IPS |
|
|
Object Detection (Q)
|
84% |
2742
221.2 IPS |
|
|
Face Detection (SP)
|
100% |
7588
90.2 IPS |
|
|
Face Detection (HP)
|
100% |
13573
161.3 IPS |
|
|
Face Detection (Q)
|
97% |
6087
72.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15153
116.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
34363
264.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
11472
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44006
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
122477
157.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35200
45.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9146
337.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16184
597.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5925
219.4 IPS |
|
|
Text Classification (SP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (HP)
|
99% |
2067
2.76 KIPS |
|
|
Text Classification (Q)
|
97% |
848
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (Q)
|
70% |
922
17.3 IPS |
