Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2302
Single Precision Score
996
Half Precision Score
5045
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 06:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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% |
1671
310.8 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (Q)
|
99% |
4015
748.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
5259
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3270
3.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3039
3.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
12841
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2071
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
86% |
4684
376.5 IPS |
|
|
Face Detection (SP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
6625
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3793
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1355
10.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9734
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8254
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6135
7.89 IPS |
|
|
Style Transfer (Q)
|
98% |
14135
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1517
56.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4244
157.2 IPS |
|
|
Text Classification (SP)
|
100% |
1310
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.6 IPS |
|
|
Text Classification (Q)
|
97% |
1213
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1577
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (Q)
|
65% |
1793
36.0 IPS |
