Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1516
Single Precision Score
1564
Half Precision Score
1017
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 26 2025 06:44 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% |
661
123.0 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.1 IPS |
|
|
Image Classification (Q)
|
100% |
560
104.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
690
11.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4499
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
4901
5.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
3078
3.61 IPS |
|
|
Object Detection (SP)
|
100% |
743
58.9 IPS |
|
|
Object Detection (HP)
|
98% |
613
48.7 IPS |
|
|
Object Detection (Q)
|
86% |
590
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
1441
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1082
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2721
21.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
3065
23.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2002
16.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9448
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13113
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
7012
9.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2283
84.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
813
30.1 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
439
585.9 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.1 IPS |
|
|
Machine Translation (SP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
70% |
342
6.41 IPS |
