Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1711
Single Precision Score
801
Half Precision Score
3779
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 12:35 PM |
| Views | 2 |
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% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.5 IPS |
|
|
Image Classification (Q)
|
99% |
3149
587.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
3425
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2538
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
2124
2.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
8848
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1173
93.1 IPS |
|
|
Object Detection (HP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (Q)
|
86% |
3178
255.4 IPS |
|
|
Face Detection (SP)
|
100% |
2999
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
4915
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3082
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
7725
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6248
8.03 IPS |
|
|
Style Transfer (HP)
|
100% |
5146
6.62 IPS |
|
|
Style Transfer (Q)
|
98% |
12708
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3047
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
484
645.9 IPS |
|
|
Text Classification (Q)
|
97% |
800
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1247
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (Q)
|
65% |
1667
33.5 IPS |
