Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2354
Single Precision Score
3462
Half Precision Score
5378
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 07 2026 09:36 PM |
| Views | 13 |
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% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
2378
442.2 IPS |
|
|
Image Classification (Q)
|
99% |
3625
676.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2165
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3545
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4039
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3760
4.39 IPS |
|
|
Pose Estimation (HP)
|
99% |
2798
3.26 IPS |
|
|
Pose Estimation (Q)
|
97% |
11459
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.6 IPS |
|
|
Object Detection (HP)
|
98% |
2038
162.2 IPS |
|
|
Object Detection (Q)
|
90% |
3751
299.9 IPS |
|
|
Face Detection (SP)
|
100% |
4205
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
6872
81.7 IPS |
|
|
Face Detection (Q)
|
100% |
9041
107.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4394
33.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7473
57.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10235
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10158
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14383
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26986
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2954
109.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5998
222.1 IPS |
|
|
Text Classification (SP)
|
71% |
934
1.35 KIPS |
|
|
Text Classification (HP)
|
71% |
1304
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
1202
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1812
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1788
30.8 IPS |
