Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1915
Single Precision Score
868
Half Precision Score
4441
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 25 2025 03:32 PM |
| Views | 1 |
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% |
1348
250.7 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (Q)
|
99% |
4282
798.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
518
8.40 IPS |
|
|
Image Segmentation (Q)
|
98% |
4534
73.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2611
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2241
2.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
9994
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1454
115.4 IPS |
|
|
Object Detection (HP)
|
100% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
86% |
3979
319.8 IPS |
|
|
Face Detection (SP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
920
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
5442
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3627
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1178
9.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
8545
68.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6526
8.39 IPS |
|
|
Style Transfer (HP)
|
100% |
5124
6.59 IPS |
|
|
Style Transfer (Q)
|
98% |
13155
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1200
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1088
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3491
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
1092
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
531
708.5 IPS |
|
|
Text Classification (Q)
|
97% |
981
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1350
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
65% |
1847
37.1 IPS |
