Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1507
Single Precision Score
1545
Half Precision Score
1020
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 23 2026 08:55 PM |
| Views | 11 |
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 | Paragon Core Power Plan |
| 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% |
662
123.1 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
100% |
571
106.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
916
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
687
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4533
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4878
5.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
3086
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
735
58.3 IPS |
|
|
Object Detection (HP)
|
98% |
607
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
611
49.1 IPS |
|
|
Face Detection (SP)
|
100% |
1438
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1082
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2699
20.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3008
23.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2015
16.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9401
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12755
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
6979
9.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
821
30.4 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
430
574.0 IPS |
|
|
Text Classification (Q)
|
97% |
383
513.0 IPS |
|
|
Machine Translation (SP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
70% |
345
6.48 IPS |
