Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1553
Single Precision Score
1598
Half Precision Score
1059
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 01 2026 05:14 PM |
| Views | 26 |
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 | Ausbalanciert |
| 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% |
673
125.1 IPS |
|
|
Image Classification (HP)
|
100% |
693
128.8 IPS |
|
|
Image Classification (Q)
|
100% |
578
107.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
926
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
713
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4744
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5168
6.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
3263
3.82 IPS |
|
|
Object Detection (SP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (HP)
|
98% |
633
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
625
50.2 IPS |
|
|
Face Detection (SP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1653
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1115
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2811
21.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3111
24.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
2087
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9891
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13289
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7375
9.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2317
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
863
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
447
596.6 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.1 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
357
6.69 IPS |
