Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1553
Single Precision Score
1599
Half Precision Score
1057
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 01 2025 09:33 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
648
120.6 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
100% |
546
101.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
695
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4786
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
5252
6.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
3262
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (HP)
|
98% |
637
50.7 IPS |
|
|
Object Detection (Q)
|
86% |
635
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1136
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2844
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3112
24.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2079
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9919
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13407
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7393
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1702
62.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2343
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
866
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
443
591.4 IPS |
|
|
Text Classification (Q)
|
97% |
408
545.9 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
361
6.76 IPS |
