Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7095
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 17 2024 06:21 PM |
| Views | 3 |
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% |
3532
660.9 IPS |
|
|
Image Classification (F16)
|
100% |
3506
656.0 IPS |
|
|
Image Classification (I8)
|
100% |
2844
532.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
5016
83.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
5021
83.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
4181
69.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
33646
40.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
36159
43.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
30547
37.0 IPS |
|
|
Object Detection (F32)
|
100% |
3182
237.6 IPS |
|
|
Object Detection (F16)
|
100% |
3003
224.2 IPS |
|
|
Object Detection (I8)
|
61% |
2547
190.1 IPS |
|
|
Face Detection (F32)
|
100% |
8599
102.2 IPS |
|
|
Face Detection (F16)
|
100% |
8500
101.1 IPS |
|
|
Face Detection (I8)
|
89% |
6993
83.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
17491
135.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
18932
146.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
14272
110.7 IPS |
|
|
Style Transfer (F32)
|
100% |
66612
87.6 IPS |
|
|
Style Transfer (F16)
|
100% |
66155
87.0 IPS |
|
|
Style Transfer (I8)
|
98% |
52990
69.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13098
467.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11102
396.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7337
262.0 IPS |
|
|
Text Classification (F32)
|
100% |
1577
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1366
1.96 KIPS |
|
|
Text Classification (I8)
|
98% |
1006
1.45 KIPS |
|
|
Machine Translation (F32)
|
100% |
2518
46.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2509
46.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1227
22.6 IPS |
