Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1204
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 07:25 PM |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
642
120.1 IPS |
|
|
Image Classification (F16)
|
100% |
633
118.4 IPS |
|
|
Image Classification (I8)
|
99% |
1308
244.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
453
7.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
441
7.36 IPS |
|
|
Image Segmentation (I8)
|
98% |
837
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1692
2.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
1675
2.03 IPS |
|
|
Pose Estimation (I8)
|
100% |
8630
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
602
45.0 IPS |
|
|
Object Detection (F16)
|
100% |
606
45.2 IPS |
|
|
Object Detection (I8)
|
62% |
721
53.8 IPS |
|
|
Face Detection (F32)
|
100% |
1233
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1144
13.6 IPS |
|
|
Face Detection (I8)
|
89% |
1715
20.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1965
15.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2072
16.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
6880
53.4 IPS |
|
|
Style Transfer (F32)
|
100% |
4112
5.41 IPS |
|
|
Style Transfer (F16)
|
100% |
4486
5.90 IPS |
|
|
Style Transfer (I8)
|
98% |
9241
12.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
954
34.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
910
32.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1671
59.7 IPS |
|
|
Text Classification (F32)
|
100% |
566
813.8 IPS |
|
|
Text Classification (F16)
|
100% |
737
1.06 KIPS |
|
|
Text Classification (I8)
|
98% |
177
255.0 IPS |
|
|
Machine Translation (F32)
|
100% |
676
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
641
11.8 IPS |
|
|
Machine Translation (I8)
|
67% |
868
16.0 IPS |
