Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1472
Single Precision Score
692
Half Precision Score
2767
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
1066
198.3 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.5 IPS |
|
|
Image Classification (Q)
|
99% |
2892
539.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
1206
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1743
2.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
8643
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
1077
85.4 IPS |
|
|
Object Detection (HP)
|
100% |
330
26.2 IPS |
|
|
Object Detection (Q)
|
86% |
2589
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
2921
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
801
9.52 IPS |
|
|
Face Detection (Q)
|
97% |
4809
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2746
21.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1019
7.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
8032
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5463
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
4330
5.57 IPS |
|
|
Style Transfer (Q)
|
98% |
11572
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
821
30.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1929
71.4 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
422
562.7 IPS |
|
|
Text Classification (Q)
|
97% |
283
379.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1038
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
362
6.23 IPS |
|
|
Machine Translation (Q)
|
65% |
1384
27.8 IPS |
