Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
4772
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 07:30 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% |
2592
485.0 IPS |
|
|
Image Classification (F16)
|
100% |
2607
487.9 IPS |
|
|
Image Classification (I8)
|
100% |
2096
392.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
3140
52.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
3647
60.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
2815
47.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
30771
37.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
29517
35.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
27309
33.1 IPS |
|
|
Object Detection (F32)
|
100% |
1155
86.3 IPS |
|
|
Object Detection (F16)
|
100% |
1022
76.3 IPS |
|
|
Object Detection (I8)
|
61% |
1008
75.3 IPS |
|
|
Face Detection (F32)
|
100% |
6533
77.7 IPS |
|
|
Face Detection (F16)
|
100% |
6549
77.9 IPS |
|
|
Face Detection (I8)
|
89% |
5405
64.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
14860
115.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
16374
127.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
11841
91.8 IPS |
|
|
Style Transfer (F32)
|
100% |
50899
67.0 IPS |
|
|
Style Transfer (F16)
|
100% |
50279
66.1 IPS |
|
|
Style Transfer (I8)
|
98% |
41849
55.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8805
314.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8319
297.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5802
207.2 IPS |
|
|
Text Classification (F32)
|
100% |
1079
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1022
1.47 KIPS |
|
|
Text Classification (I8)
|
98% |
678
974.5 IPS |
|
|
Machine Translation (F32)
|
100% |
987
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1038
19.1 IPS |
|
|
Machine Translation (I8)
|
70% |
738
13.6 IPS |
