Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1636
Single Precision Score
740
Half Precision Score
3933
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 30 2025 02:52 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% |
1221
227.0 IPS |
|
|
Image Classification (HP)
|
100% |
279
51.9 IPS |
|
|
Image Classification (Q)
|
99% |
3603
672.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
4428
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2224
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1798
2.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
8698
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (Q)
|
86% |
3159
253.9 IPS |
|
|
Face Detection (SP)
|
100% |
3304
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
794
9.44 IPS |
|
|
Face Detection (Q)
|
97% |
4572
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3034
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1056
8.14 IPS |
|
|
Depth Estimation (Q)
|
78% |
8203
65.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5602
7.20 IPS |
|
|
Style Transfer (HP)
|
100% |
4028
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
12108
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
894
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3303
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
837
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
441
588.7 IPS |
|
|
Text Classification (Q)
|
97% |
778
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
65% |
1735
34.9 IPS |
