Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3845
Single Precision Score
3948
Half Precision Score
10467
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 12:29 PM |
| Views | 3 |
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% |
2382
442.9 IPS |
|
|
Image Classification (HP)
|
100% |
2651
493.0 IPS |
|
|
Image Classification (Q)
|
100% |
8085
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3078
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3343
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8063
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4204
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4200
4.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
17406
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.7 IPS |
|
|
Object Detection (HP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (Q)
|
88% |
7273
583.1 IPS |
|
|
Face Detection (SP)
|
100% |
5950
70.7 IPS |
|
|
Face Detection (HP)
|
100% |
6013
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
18304
217.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5438
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5626
43.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
16798
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11911
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11827
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49776
64.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2673
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2715
100.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9562
354.1 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2911
3.89 KIPS |
|
|
Text Classification (Q)
|
92% |
3764
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3722
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3474
59.8 IPS |
