Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1379
Single Precision Score
650
Half Precision Score
2747
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | December 23 2024 04:40 PM |
| Views | 6 |
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% |
1119
208.1 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.2 IPS |
|
|
Image Classification (Q)
|
99% |
3321
619.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
1480
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2011
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1634
1.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
7854
9.21 IPS |
|
|
Object Detection (SP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (HP)
|
100% |
323
25.6 IPS |
|
|
Object Detection (Q)
|
86% |
1832
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
684
8.13 IPS |
|
|
Face Detection (Q)
|
97% |
3692
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1978
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
881
6.79 IPS |
|
|
Depth Estimation (Q)
|
78% |
6073
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4514
5.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3871
4.98 IPS |
|
|
Style Transfer (Q)
|
98% |
9598
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
756
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1511
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.5 IPS |
|
|
Text Classification (HP)
|
100% |
359
478.8 IPS |
|
|
Text Classification (Q)
|
97% |
682
913.1 IPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
65% |
1564
31.4 IPS |
