Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7072
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 05:50 PM |
| Views | 2 |
System Information
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 8 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3575
668.9 IPS |
|
|
Image Classification (F16)
|
100% |
3581
670.1 IPS |
|
|
Image Classification (I8)
|
100% |
2841
531.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
5001
83.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4958
82.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
4177
69.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
33607
40.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
34921
42.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
28018
33.9 IPS |
|
|
Object Detection (F32)
|
100% |
2767
206.6 IPS |
|
|
Object Detection (F16)
|
100% |
2856
213.2 IPS |
|
|
Object Detection (I8)
|
61% |
2659
198.5 IPS |
|
|
Face Detection (F32)
|
100% |
8804
104.7 IPS |
|
|
Face Detection (F16)
|
100% |
8870
105.5 IPS |
|
|
Face Detection (I8)
|
89% |
6915
82.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
19276
149.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
19036
147.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
14085
109.2 IPS |
|
|
Style Transfer (F32)
|
100% |
60962
80.2 IPS |
|
|
Style Transfer (F16)
|
100% |
64266
84.5 IPS |
|
|
Style Transfer (I8)
|
98% |
52099
68.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11093
396.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11411
407.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7375
263.4 IPS |
|
|
Text Classification (F32)
|
100% |
1647
2.37 KIPS |
|
|
Text Classification (F16)
|
100% |
1690
2.43 KIPS |
|
|
Text Classification (I8)
|
98% |
990
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
2530
46.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2509
46.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1270
23.4 IPS |
