Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2194
Single Precision Score
3305
Half Precision Score
5142
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 01 2025 09:27 PM |
| Views | 12 |
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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.3 IPS |
|
|
Image Classification (Q)
|
99% |
3366
627.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3465
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3932
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3746
4.37 IPS |
|
|
Pose Estimation (HP)
|
99% |
2801
3.27 IPS |
|
|
Pose Estimation (Q)
|
97% |
11521
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1255
99.5 IPS |
|
|
Object Detection (HP)
|
98% |
1889
150.3 IPS |
|
|
Object Detection (Q)
|
90% |
3482
278.4 IPS |
|
|
Face Detection (SP)
|
100% |
4164
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
6767
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
8767
104.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4308
33.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7486
57.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10334
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9754
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15018
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26026
33.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1743
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2796
103.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5429
201.1 IPS |
|
|
Text Classification (SP)
|
71% |
821
1.19 KIPS |
|
|
Text Classification (HP)
|
71% |
1015
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1134
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1768
30.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1678
28.9 IPS |
