Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
4031
Single Precision Score
4114
Half Precision Score
10399
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 06 2026 12:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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% |
2484
461.9 IPS |
|
|
Image Classification (HP)
|
100% |
2972
552.8 IPS |
|
|
Image Classification (Q)
|
100% |
6843
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3689
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8630
139.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4644
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4712
5.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
18134
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
2397
190.1 IPS |
|
|
Object Detection (Q)
|
88% |
6887
552.1 IPS |
|
|
Face Detection (SP)
|
100% |
6056
72.0 IPS |
|
|
Face Detection (HP)
|
100% |
6125
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
16790
199.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6063
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
6073
46.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
17648
137.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12489
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12776
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
48680
62.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2865
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2828
104.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10147
375.8 IPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (Q)
|
92% |
3732
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3626
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3501
60.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3673
63.3 IPS |
