Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
873
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 07:44 PM |
| Views | 3 |
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% |
381
71.3 IPS |
|
|
Image Classification (F16)
|
100% |
364
68.2 IPS |
|
|
Image Classification (I8)
|
99% |
1273
238.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
404
6.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
412
6.88 IPS |
|
|
Image Segmentation (I8)
|
98% |
761
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1086
1.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
1166
1.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
5021
6.08 IPS |
|
|
Object Detection (F32)
|
100% |
422
31.5 IPS |
|
|
Object Detection (F16)
|
100% |
517
38.6 IPS |
|
|
Object Detection (I8)
|
62% |
364
27.2 IPS |
|
|
Face Detection (F32)
|
100% |
874
10.4 IPS |
|
|
Face Detection (F16)
|
100% |
900
10.7 IPS |
|
|
Face Detection (I8)
|
89% |
1291
15.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1252
9.71 IPS |
|
|
Depth Estimation (F16)
|
100% |
1448
11.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
3613
28.0 IPS |
|
|
Style Transfer (F32)
|
100% |
2335
3.07 IPS |
|
|
Style Transfer (F16)
|
100% |
2326
3.06 IPS |
|
|
Style Transfer (I8)
|
98% |
7892
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
665
23.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
562
20.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1463
52.2 IPS |
|
|
Text Classification (F32)
|
100% |
619
889.2 IPS |
|
|
Text Classification (F16)
|
100% |
554
795.5 IPS |
|
|
Text Classification (I8)
|
98% |
155
222.9 IPS |
|
|
Machine Translation (F32)
|
100% |
525
9.67 IPS |
|
|
Machine Translation (F16)
|
100% |
497
9.15 IPS |
|
|
Machine Translation (I8)
|
67% |
698
12.9 IPS |
