Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1544
Single Precision Score
1578
Half Precision Score
1044
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:17 PM |
| Views | 2 |
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% |
666
123.9 IPS |
|
|
Image Classification (HP)
|
100% |
695
129.3 IPS |
|
|
Image Classification (Q)
|
100% |
578
107.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
709
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4667
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
5032
5.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
3142
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
748
59.3 IPS |
|
|
Object Detection (HP)
|
98% |
629
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
622
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1486
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
1109
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2810
21.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3042
23.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2058
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9770
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13157
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
7152
9.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1677
61.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2308
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
848
31.4 IPS |
|
|
Text Classification (SP)
|
100% |
780
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
435
580.6 IPS |
|
|
Text Classification (Q)
|
97% |
395
529.1 IPS |
|
|
Machine Translation (SP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (Q)
|
70% |
352
6.60 IPS |
