Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1560
Single Precision Score
1609
Half Precision Score
1065
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 08 2026 12:09 AM |
| Views | 13 |
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% |
668
124.2 IPS |
|
|
Image Classification (HP)
|
100% |
702
130.6 IPS |
|
|
Image Classification (Q)
|
100% |
586
109.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4714
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
5244
6.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
3235
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
98% |
629
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
633
50.9 IPS |
|
|
Face Detection (SP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1648
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
1137
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2843
21.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3143
24.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2097
16.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9902
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13334
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7417
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1688
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2335
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
867
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
450
601.1 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.3 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
358
6.71 IPS |
