Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2281
Single Precision Score
3327
Half Precision Score
5116
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 01 2026 05:10 PM |
| Views | 11 |
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 | 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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.3 IPS |
|
|
Image Classification (Q)
|
99% |
3443
642.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3377
54.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3951
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3687
4.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
2730
3.19 IPS |
|
|
Pose Estimation (Q)
|
97% |
11083
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
98% |
1910
152.0 IPS |
|
|
Object Detection (Q)
|
90% |
3446
275.5 IPS |
|
|
Face Detection (SP)
|
100% |
4182
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
6638
78.9 IPS |
|
|
Face Detection (Q)
|
100% |
8909
105.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4242
32.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
7364
56.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9825
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9729
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13944
17.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26139
33.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1734
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5542
205.2 IPS |
|
|
Text Classification (SP)
|
71% |
908
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
1288
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
1115
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1728
29.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1673
28.8 IPS |
