Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7351
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 06:46 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 | Ultimative Leistung |
| 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% |
3749
701.5 IPS |
|
|
Image Classification (F16)
|
100% |
3718
695.8 IPS |
|
|
Image Classification (I8)
|
100% |
2914
545.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5037
84.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
4963
82.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4192
70.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
33468
40.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
35965
43.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
30350
36.8 IPS |
|
|
Object Detection (F32)
|
100% |
3148
235.1 IPS |
|
|
Object Detection (F16)
|
100% |
3152
235.3 IPS |
|
|
Object Detection (I8)
|
61% |
2668
199.2 IPS |
|
|
Face Detection (F32)
|
100% |
9031
107.4 IPS |
|
|
Face Detection (F16)
|
100% |
9065
107.8 IPS |
|
|
Face Detection (I8)
|
89% |
7109
84.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
19793
153.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
19918
154.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
15422
119.6 IPS |
|
|
Style Transfer (F32)
|
100% |
66430
87.4 IPS |
|
|
Style Transfer (F16)
|
100% |
67794
89.2 IPS |
|
|
Style Transfer (I8)
|
98% |
54571
71.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13758
491.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11694
417.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7563
270.1 IPS |
|
|
Text Classification (F32)
|
100% |
1601
2.30 KIPS |
|
|
Text Classification (F16)
|
100% |
1675
2.41 KIPS |
|
|
Text Classification (I8)
|
98% |
961
1.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
2599
47.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2592
47.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1295
23.8 IPS |
