Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2181
Single Precision Score
3239
Half Precision Score
5113
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 25 2025 03:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
2153
400.4 IPS |
|
|
Image Classification (Q)
|
99% |
3365
627.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3361
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3885
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3630
4.24 IPS |
|
|
Pose Estimation (HP)
|
99% |
2649
3.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
11034
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1231
97.6 IPS |
|
|
Object Detection (HP)
|
98% |
1887
150.1 IPS |
|
|
Object Detection (Q)
|
90% |
3461
276.7 IPS |
|
|
Face Detection (SP)
|
100% |
4015
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
6602
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
8843
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4216
32.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7144
55.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
9616
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9423
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15006
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26263
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1723
63.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2769
102.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5644
209.0 IPS |
|
|
Text Classification (SP)
|
71% |
919
1.33 KIPS |
|
|
Text Classification (HP)
|
71% |
1075
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1671
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1701
29.3 IPS |
