Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1588
Single Precision Score
1607
Half Precision Score
1088
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 03 2026 09:30 PM |
| Views | 9 |
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
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.3 IPS |
|
|
Image Classification (Q)
|
100% |
602
111.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
744
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4696
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
5243
6.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
3237
3.79 IPS |
|
|
Object Detection (SP)
|
100% |
781
61.9 IPS |
|
|
Object Detection (HP)
|
98% |
648
51.6 IPS |
|
|
Object Detection (Q)
|
86% |
650
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1680
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
1164
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2961
22.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3196
24.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2191
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10008
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13541
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7407
9.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
887
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
405
540.4 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.7 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (Q)
|
70% |
368
6.91 IPS |
