Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
4063
Single Precision Score
4216
Half Precision Score
10499
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 03 2026 09:47 PM |
| Views | 5 |
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% |
2645
492.0 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.0 IPS |
|
|
Image Classification (Q)
|
100% |
7596
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3691
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3865
62.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7638
123.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4660
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
4676
5.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
17459
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (Q)
|
88% |
7290
584.4 IPS |
|
|
Face Detection (SP)
|
100% |
5704
67.8 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
17969
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6169
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6090
46.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
17975
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12791
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13253
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48160
62.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2771
102.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9016
333.9 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2686
3.58 KIPS |
|
|
Text Classification (Q)
|
92% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3954
68.1 IPS |
