Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3073
Single Precision Score
3134
Half Precision Score
7844
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 01 2026 05:08 PM |
| Views | 13 |
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 | Ausbalanciert |
| 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% |
1928
358.6 IPS |
|
|
Image Classification (HP)
|
100% |
1988
369.6 IPS |
|
|
Image Classification (Q)
|
100% |
5238
974.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5762
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3652
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3618
4.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
13608
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1795
142.4 IPS |
|
|
Object Detection (HP)
|
100% |
1825
144.7 IPS |
|
|
Object Detection (Q)
|
88% |
5254
421.1 IPS |
|
|
Face Detection (SP)
|
100% |
5093
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
13373
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4923
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4817
37.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
14240
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9785
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10117
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
33526
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2184
80.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2287
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7692
284.9 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1808
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
2876
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2743
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2896
49.9 IPS |
