Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2963
Single Precision Score
1233
Half Precision Score
6237
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 11 2026 11:58 PM |
| Views | 7 |
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 | Paragon Perf V4 Power Plan |
| 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% |
3010
559.8 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.0 IPS |
|
|
Image Classification (Q)
|
99% |
6615
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1237
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7083
115.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4417
5.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3437
4.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
14852
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2140
169.8 IPS |
|
|
Object Detection (HP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (Q)
|
86% |
5244
421.4 IPS |
|
|
Face Detection (SP)
|
100% |
4636
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
7576
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5515
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1678
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12039
96.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9288
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7453
9.58 IPS |
|
|
Style Transfer (Q)
|
98% |
17181
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2077
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1613
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4853
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1306
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2458
49.4 IPS |
