Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2287
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 05:48 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% |
1158
216.7 IPS |
|
|
Image Classification (F16)
|
100% |
1150
215.1 IPS |
|
|
Image Classification (I8)
|
99% |
2709
506.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
996
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
987
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1651
27.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3708
4.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
3588
4.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
11807
14.3 IPS |
|
|
Object Detection (F32)
|
100% |
1203
89.8 IPS |
|
|
Object Detection (F16)
|
100% |
1132
84.5 IPS |
|
|
Object Detection (I8)
|
62% |
1241
92.7 IPS |
|
|
Face Detection (F32)
|
100% |
2197
26.1 IPS |
|
|
Face Detection (F16)
|
100% |
2125
25.3 IPS |
|
|
Face Detection (I8)
|
89% |
2902
34.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4182
32.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4275
33.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
10134
78.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8488
11.2 IPS |
|
|
Style Transfer (F16)
|
100% |
7617
10.0 IPS |
|
|
Style Transfer (I8)
|
98% |
13992
18.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1824
65.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1892
67.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3366
120.2 IPS |
|
|
Text Classification (F32)
|
100% |
1207
1.73 KIPS |
|
|
Text Classification (F16)
|
100% |
1229
1.77 KIPS |
|
|
Text Classification (I8)
|
98% |
352
505.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1312
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1267
23.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1728
31.8 IPS |
