Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1744
Single Precision Score
2658
Half Precision Score
4161
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 01:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1023
190.3 IPS |
|
|
Image Classification (HP)
|
100% |
1850
344.1 IPS |
|
|
Image Classification (Q)
|
99% |
2790
520.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2696
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3401
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2262
2.64 IPS |
|
|
Pose Estimation (HP)
|
99% |
2118
2.47 IPS |
|
|
Pose Estimation (Q)
|
97% |
7472
8.75 IPS |
|
|
Object Detection (SP)
|
100% |
902
71.5 IPS |
|
|
Object Detection (HP)
|
98% |
1552
123.5 IPS |
|
|
Object Detection (Q)
|
90% |
2942
235.3 IPS |
|
|
Face Detection (SP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
5944
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
8030
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3379
26.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5920
45.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
8362
65.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7088
9.11 IPS |
|
|
Style Transfer (HP)
|
100% |
12019
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20540
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2404
88.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.5 IPS |
|
|
Text Classification (SP)
|
71% |
858
1.24 KIPS |
|
|
Text Classification (HP)
|
71% |
1016
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1034
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1040
18.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1039
17.9 IPS |
