Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1557
Single Precision Score
1599
Half Precision Score
1062
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | January 31 2026 12:42 PM |
| Views | 7 |
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% |
671
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
689
128.1 IPS |
|
|
Image Classification (Q)
|
100% |
584
108.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4663
5.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
5149
6.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
3249
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
751
59.6 IPS |
|
|
Object Detection (HP)
|
98% |
633
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
627
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
1514
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1658
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1132
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2819
21.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3113
24.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2087
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9890
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13286
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7363
9.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2336
86.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
863
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
440
586.6 IPS |
|
|
Text Classification (Q)
|
97% |
400
536.2 IPS |
|
|
Machine Translation (SP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
358
6.72 IPS |
