Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9757
Single Precision Score
18020
Half Precision Score
6959
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 12:35 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% |
4246
789.5 IPS |
|
|
Image Classification (HP)
|
99% |
7953
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
3504
653.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6394
103.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10512
170.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5271
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37244
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
115580
134.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
32216
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4973
394.4 IPS |
|
|
Object Detection (HP)
|
100% |
10319
818.5 IPS |
|
|
Object Detection (Q)
|
84% |
4018
324.1 IPS |
|
|
Face Detection (SP)
|
100% |
10741
127.6 IPS |
|
|
Face Detection (HP)
|
100% |
18697
222.2 IPS |
|
|
Face Detection (Q)
|
97% |
8826
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22667
174.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
49228
379.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
17131
137.2 IPS |
|
|
Style Transfer (SP)
|
100% |
67530
86.8 IPS |
|
|
Style Transfer (HP)
|
100% |
178232
229.1 IPS |
|
|
Style Transfer (Q)
|
98% |
55120
71.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13035
481.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23785
878.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8641
320.0 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2881
3.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1183
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3177
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1309
24.6 IPS |
