Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1422
Single Precision Score
706
Half Precision Score
3431
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 04:54 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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% |
1059
196.9 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.4 IPS |
|
|
Image Classification (Q)
|
99% |
3110
580.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
424
6.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
3638
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2013
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1739
2.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
8230
9.65 IPS |
|
|
Object Detection (SP)
|
100% |
977
77.5 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
86% |
3098
249.0 IPS |
|
|
Face Detection (SP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.42 IPS |
|
|
Face Detection (Q)
|
97% |
4618
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2658
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1012
7.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
7076
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5067
6.51 IPS |
|
|
Style Transfer (HP)
|
100% |
4193
5.39 IPS |
|
|
Style Transfer (Q)
|
98% |
11009
14.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2696
99.8 IPS |
|
|
Text Classification (SP)
|
100% |
815
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
437
582.8 IPS |
|
|
Text Classification (Q)
|
97% |
663
887.7 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (Q)
|
65% |
1220
24.5 IPS |
