Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2569
Single Precision Score
1041
Half Precision Score
4833
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:38 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% |
1885
350.5 IPS |
|
|
Image Classification (HP)
|
100% |
376
70.0 IPS |
|
|
Image Classification (Q)
|
99% |
4926
918.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1207
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2365
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3553
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2788
3.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
13448
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.2 IPS |
|
|
Object Detection (HP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (Q)
|
86% |
4568
367.2 IPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
1064
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
6715
80.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5340
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1432
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10544
84.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9016
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6951
8.94 IPS |
|
|
Style Transfer (Q)
|
98% |
15736
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1942
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3003
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
1277
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
608
811.4 IPS |
|
|
Text Classification (Q)
|
97% |
1290
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
65% |
2253
45.3 IPS |
