Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2283
Single Precision Score
1038
Half Precision Score
5163
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 07 2026 11:57 PM |
| Views | 15 |
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% |
1604
298.4 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.3 IPS |
|
|
Image Classification (Q)
|
99% |
4591
856.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
4423
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3540
4.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2588
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
13010
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (Q)
|
86% |
4594
369.2 IPS |
|
|
Face Detection (SP)
|
100% |
4430
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
1114
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
6405
76.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4590
35.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1462
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10549
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8336
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6444
8.28 IPS |
|
|
Style Transfer (Q)
|
98% |
15262
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4180
154.8 IPS |
|
|
Text Classification (SP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
668
892.2 IPS |
|
|
Text Classification (Q)
|
97% |
1134
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (Q)
|
65% |
2270
45.6 IPS |
