Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2497
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 01:14 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% |
1364
255.2 IPS |
|
|
Image Classification (F16)
|
100% |
1290
241.4 IPS |
|
|
Image Classification (I8)
|
99% |
2879
538.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1197
20.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1095
18.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1806
30.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
3269
3.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
3961
4.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
14281
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1351
100.8 IPS |
|
|
Object Detection (F16)
|
100% |
1357
101.3 IPS |
|
|
Object Detection (I8)
|
62% |
1293
96.5 IPS |
|
|
Face Detection (F32)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (F16)
|
100% |
2230
26.5 IPS |
|
|
Face Detection (I8)
|
89% |
3236
38.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4998
38.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4816
37.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
11104
86.1 IPS |
|
|
Style Transfer (F32)
|
100% |
8501
11.2 IPS |
|
|
Style Transfer (F16)
|
100% |
9808
12.9 IPS |
|
|
Style Transfer (I8)
|
98% |
15651
20.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2173
77.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1644
58.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3019
107.8 IPS |
|
|
Text Classification (F32)
|
100% |
1443
2.07 KIPS |
|
|
Text Classification (F16)
|
100% |
1401
2.01 KIPS |
|
|
Text Classification (I8)
|
98% |
342
491.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1344
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1449
26.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1885
34.7 IPS |
