Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2362
Single Precision Score
3488
Half Precision Score
5680
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 03 2026 09:53 PM |
| Views | 5 |
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% |
1405
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2319
431.2 IPS |
|
|
Image Classification (Q)
|
99% |
3803
709.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3480
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5263
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3776
4.41 IPS |
|
|
Pose Estimation (HP)
|
99% |
2838
3.31 IPS |
|
|
Pose Estimation (Q)
|
97% |
11628
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
98% |
2095
166.7 IPS |
|
|
Object Detection (Q)
|
90% |
3838
306.9 IPS |
|
|
Face Detection (SP)
|
100% |
4204
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
6924
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
10290
122.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4290
33.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7705
59.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
10630
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9804
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14822
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26814
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1789
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2974
109.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6038
223.6 IPS |
|
|
Text Classification (SP)
|
71% |
982
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1307
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
1227
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1197
20.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1810
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1802
31.0 IPS |
