Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2650
Single Precision Score
1207
Half Precision Score
6090
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 03 2026 09:15 PM |
| Views | 11 |
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% |
1818
338.2 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.1 IPS |
|
|
Image Classification (Q)
|
99% |
5932
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1362
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
704
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7197
117.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3734
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3148
3.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
14499
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
549
43.5 IPS |
|
|
Object Detection (Q)
|
86% |
5137
412.8 IPS |
|
|
Face Detection (SP)
|
100% |
4255
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
7303
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5130
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1578
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12021
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8925
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7547
9.70 IPS |
|
|
Style Transfer (Q)
|
98% |
16761
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4758
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1276
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1776
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2471
49.7 IPS |
