Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2297
Single Precision Score
3399
Half Precision Score
5239
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | January 31 2026 12:53 PM |
| Views | 7 |
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% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2283
424.5 IPS |
|
|
Image Classification (Q)
|
99% |
3442
642.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3445
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4018
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3485
4.07 IPS |
|
|
Pose Estimation (HP)
|
99% |
2774
3.24 IPS |
|
|
Pose Estimation (Q)
|
97% |
10972
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1268
100.6 IPS |
|
|
Object Detection (HP)
|
98% |
1962
156.1 IPS |
|
|
Object Detection (Q)
|
90% |
3562
284.8 IPS |
|
|
Face Detection (SP)
|
100% |
4189
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
6703
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
9123
108.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4356
33.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7456
57.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
9850
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9515
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14255
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26012
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2893
106.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5997
222.1 IPS |
|
|
Text Classification (SP)
|
71% |
953
1.38 KIPS |
|
|
Text Classification (HP)
|
71% |
1316
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
1166
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1778
30.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1765
30.4 IPS |
