Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2329
Single Precision Score
3380
Half Precision Score
5251
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 03 2026 07:44 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% |
1334
248.0 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.6 IPS |
|
|
Image Classification (Q)
|
99% |
3511
654.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3472
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4004
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3799
4.43 IPS |
|
|
Pose Estimation (HP)
|
99% |
2817
3.29 IPS |
|
|
Pose Estimation (Q)
|
97% |
11373
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
98% |
1948
155.0 IPS |
|
|
Object Detection (Q)
|
90% |
3592
287.2 IPS |
|
|
Face Detection (SP)
|
100% |
4237
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
6743
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
9061
107.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4393
33.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7429
57.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
10022
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10140
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14363
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26367
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2842
104.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5819
215.5 IPS |
|
|
Text Classification (SP)
|
71% |
910
1.32 KIPS |
|
|
Text Classification (HP)
|
71% |
1289
1.86 KIPS |
|
|
Text Classification (Q)
|
92% |
1146
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1138
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1735
30.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1741
30.0 IPS |
