Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1557
Single Precision Score
1595
Half Precision Score
1059
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 26 2025 06:08 PM |
| Views | 4 |
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% |
665
123.6 IPS |
|
|
Image Classification (HP)
|
100% |
677
126.0 IPS |
|
|
Image Classification (Q)
|
100% |
587
109.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4756
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5182
6.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
3238
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
752
59.6 IPS |
|
|
Object Detection (HP)
|
98% |
628
50.0 IPS |
|
|
Object Detection (Q)
|
86% |
628
50.4 IPS |
|
|
Face Detection (SP)
|
100% |
1502
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1655
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1119
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2818
21.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3113
24.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2084
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9879
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13264
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
7262
9.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1687
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2317
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
861
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
447
596.2 IPS |
|
|
Text Classification (Q)
|
97% |
399
534.4 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
70% |
359
6.73 IPS |
