Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3729
Single Precision Score
3827
Half Precision Score
10139
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 07:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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% |
2355
438.0 IPS |
|
|
Image Classification (HP)
|
100% |
2579
479.5 IPS |
|
|
Image Classification (Q)
|
100% |
7049
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5985
97.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4268
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4297
5.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
17651
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2149
170.5 IPS |
|
|
Object Detection (HP)
|
100% |
2198
174.4 IPS |
|
|
Object Detection (Q)
|
88% |
6758
541.8 IPS |
|
|
Face Detection (SP)
|
100% |
5675
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
6098
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
16228
192.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5647
43.5 IPS |
|
|
Depth Estimation (HP)
|
100% |
5707
44.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
17189
136.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11895
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12045
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48056
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2700
99.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2689
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8752
324.1 IPS |
|
|
Text Classification (SP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (Q)
|
92% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (Q)
|
85% |
4893
85.6 IPS |
