Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2272
Single Precision Score
3344
Half Precision Score
5223
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 11 2026 05:53 PM |
| Views | 8 |
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
249.1 IPS |
|
|
Image Classification (HP)
|
100% |
2278
423.6 IPS |
|
|
Image Classification (Q)
|
99% |
3506
654.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3410
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3985
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3699
4.32 IPS |
|
|
Pose Estimation (HP)
|
99% |
2689
3.14 IPS |
|
|
Pose Estimation (Q)
|
97% |
11089
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1217
96.6 IPS |
|
|
Object Detection (HP)
|
98% |
1949
155.1 IPS |
|
|
Object Detection (Q)
|
90% |
3688
294.9 IPS |
|
|
Face Detection (SP)
|
100% |
3945
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
6513
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
9213
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4273
32.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7403
57.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
9568
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9865
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13967
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
25793
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1731
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2791
103.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5795
214.6 IPS |
|
|
Text Classification (SP)
|
71% |
915
1.32 KIPS |
|
|
Text Classification (HP)
|
71% |
1313
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
1150
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1742
30.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1748
30.1 IPS |
