Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7259
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2024 02:49 AM |
| Views | 2 |
System Information
| 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 |
| 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% |
3628
678.9 IPS |
|
|
Image Classification (F16)
|
100% |
3665
685.8 IPS |
|
|
Image Classification (I8)
|
100% |
2850
533.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
4941
82.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
4929
82.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
4114
68.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
33326
40.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
35823
43.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
30676
37.1 IPS |
|
|
Object Detection (F32)
|
100% |
3332
248.7 IPS |
|
|
Object Detection (F16)
|
100% |
3313
247.3 IPS |
|
|
Object Detection (I8)
|
61% |
2827
211.0 IPS |
|
|
Face Detection (F32)
|
100% |
8989
106.9 IPS |
|
|
Face Detection (F16)
|
100% |
9017
107.2 IPS |
|
|
Face Detection (I8)
|
89% |
7050
83.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
20092
155.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
20078
155.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
13641
105.8 IPS |
|
|
Style Transfer (F32)
|
100% |
61641
81.1 IPS |
|
|
Style Transfer (F16)
|
100% |
67198
88.4 IPS |
|
|
Style Transfer (I8)
|
98% |
54601
71.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13266
473.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11176
399.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7272
259.7 IPS |
|
|
Text Classification (F32)
|
100% |
1534
2.20 KIPS |
|
|
Text Classification (F16)
|
100% |
1589
2.28 KIPS |
|
|
Text Classification (I8)
|
98% |
1029
1.48 KIPS |
|
|
Machine Translation (F32)
|
100% |
2545
46.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2509
46.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1262
23.2 IPS |
