Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1558
Single Precision Score
1574
Half Precision Score
1068
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 27 2025 11:16 AM |
| 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% |
684
127.3 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.4 IPS |
|
|
Image Classification (Q)
|
100% |
592
110.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
721
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4562
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
5000
5.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
3126
3.66 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (HP)
|
98% |
632
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
637
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1637
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1135
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2863
22.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3089
23.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2128
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9718
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13043
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7273
9.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2301
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
875
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
794
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
404
538.7 IPS |
|
|
Text Classification (Q)
|
97% |
410
549.2 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.4 IPS |
|
|
Machine Translation (Q)
|
70% |
361
6.77 IPS |
