Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1827
Single Precision Score
873
Half Precision Score
4286
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 01 2026 05:05 PM |
| Views | 19 |
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 | Ausbalanciert |
| 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% |
1313
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
314
58.3 IPS |
|
|
Image Classification (Q)
|
99% |
3777
704.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
823
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
478
7.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
4276
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2718
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2320
2.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
10056
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (Q)
|
86% |
3593
288.7 IPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
5444
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3344
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1194
9.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
8395
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6771
8.70 IPS |
|
|
Style Transfer (HP)
|
100% |
5599
7.20 IPS |
|
|
Style Transfer (Q)
|
98% |
13102
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1199
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1036
38.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3445
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
1007
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
550
733.7 IPS |
|
|
Text Classification (Q)
|
97% |
921
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1319
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (Q)
|
65% |
1890
38.0 IPS |
