Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1562
Single Precision Score
1575
Half Precision Score
1068
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 06 2026 12:51 PM |
| Views | 7 |
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% |
671
124.7 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
100% |
589
109.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
730
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4602
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
5075
5.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
3139
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (HP)
|
98% |
634
50.5 IPS |
|
|
Object Detection (Q)
|
86% |
640
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1644
19.5 IPS |
|
|
Face Detection (Q)
|
97% |
1139
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2882
22.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3112
24.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2143
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9795
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13180
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
7247
9.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1615
59.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2297
84.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
862
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
408
544.6 IPS |
|
|
Text Classification (Q)
|
97% |
406
543.7 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
70% |
363
6.80 IPS |
