Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7033
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 05:25 PM |
| Views | 6 |
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% |
3457
647.0 IPS |
|
|
Image Classification (F16)
|
100% |
3568
667.7 IPS |
|
|
Image Classification (I8)
|
100% |
2844
532.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
4989
83.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4909
82.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4163
69.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
33512
40.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
34624
41.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
29855
36.2 IPS |
|
|
Object Detection (F32)
|
100% |
3228
241.0 IPS |
|
|
Object Detection (F16)
|
100% |
3174
236.9 IPS |
|
|
Object Detection (I8)
|
61% |
2484
185.4 IPS |
|
|
Face Detection (F32)
|
100% |
8853
105.3 IPS |
|
|
Face Detection (F16)
|
100% |
8808
104.7 IPS |
|
|
Face Detection (I8)
|
89% |
6723
79.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18320
142.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
19041
147.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
14794
114.7 IPS |
|
|
Style Transfer (F32)
|
100% |
60942
80.2 IPS |
|
|
Style Transfer (F16)
|
100% |
59039
77.7 IPS |
|
|
Style Transfer (I8)
|
98% |
50441
66.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12783
456.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10233
365.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7235
258.4 IPS |
|
|
Text Classification (F32)
|
100% |
1521
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1526
2.19 KIPS |
|
|
Text Classification (I8)
|
98% |
982
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
2477
45.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2510
46.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1255
23.1 IPS |
