Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
6712
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 10 2024 09:47 PM |
| 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% |
3646
682.3 IPS |
|
|
Image Classification (F16)
|
100% |
3598
673.3 IPS |
|
|
Image Classification (I8)
|
100% |
2821
527.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
4898
81.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
5443
90.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4190
70.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
33539
40.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
35060
42.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
30698
37.2 IPS |
|
|
Object Detection (F32)
|
100% |
1665
124.3 IPS |
|
|
Object Detection (F16)
|
100% |
3171
236.7 IPS |
|
|
Object Detection (I8)
|
61% |
2818
210.3 IPS |
|
|
Face Detection (F32)
|
100% |
9078
107.9 IPS |
|
|
Face Detection (F16)
|
100% |
3976
47.3 IPS |
|
|
Face Detection (I8)
|
89% |
7096
84.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16696
129.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
19210
149.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
5966
46.3 IPS |
|
|
Style Transfer (F32)
|
100% |
67678
89.0 IPS |
|
|
Style Transfer (F16)
|
100% |
67577
88.9 IPS |
|
|
Style Transfer (I8)
|
98% |
54894
72.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7255
259.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13854
494.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7502
267.9 IPS |
|
|
Text Classification (F32)
|
100% |
1732
2.49 KIPS |
|
|
Text Classification (F16)
|
100% |
1851
2.66 KIPS |
|
|
Text Classification (I8)
|
98% |
1070
1.54 KIPS |
|
|
Machine Translation (F32)
|
100% |
2637
48.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2651
48.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1294
23.8 IPS |
