Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7335
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 30 2024 02:27 AM |
| 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 | 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% |
3649
682.9 IPS |
|
|
Image Classification (F16)
|
100% |
3622
677.7 IPS |
|
|
Image Classification (I8)
|
100% |
2820
527.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4997
83.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
5041
84.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
4223
70.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
33560
40.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
34792
42.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
30503
36.9 IPS |
|
|
Object Detection (F32)
|
100% |
3205
239.3 IPS |
|
|
Object Detection (F16)
|
100% |
3264
243.7 IPS |
|
|
Object Detection (I8)
|
61% |
2759
206.0 IPS |
|
|
Face Detection (F32)
|
100% |
8976
106.7 IPS |
|
|
Face Detection (F16)
|
100% |
8884
105.6 IPS |
|
|
Face Detection (I8)
|
89% |
7058
83.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
19917
154.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
19785
153.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
14446
112.0 IPS |
|
|
Style Transfer (F32)
|
100% |
65895
86.7 IPS |
|
|
Style Transfer (F16)
|
100% |
65990
86.8 IPS |
|
|
Style Transfer (I8)
|
98% |
53851
70.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13635
486.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11777
420.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7467
266.7 IPS |
|
|
Text Classification (F32)
|
100% |
1506
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1878
2.70 KIPS |
|
|
Text Classification (I8)
|
98% |
1055
1.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
2579
47.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2566
47.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1267
23.3 IPS |
