Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1946
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 10 2024 09:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
1031
192.9 IPS |
|
|
Image Classification (F16)
|
100% |
1000
187.2 IPS |
|
|
Image Classification (I8)
|
99% |
2419
452.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
937
15.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
762
12.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1420
23.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2506
3.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
2786
3.37 IPS |
|
|
Pose Estimation (I8)
|
100% |
11863
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1023
76.4 IPS |
|
|
Object Detection (F16)
|
100% |
1047
78.2 IPS |
|
|
Object Detection (I8)
|
62% |
927
69.2 IPS |
|
|
Face Detection (F32)
|
100% |
1924
22.9 IPS |
|
|
Face Detection (F16)
|
100% |
1969
23.4 IPS |
|
|
Face Detection (I8)
|
89% |
2901
34.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3242
25.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3593
27.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
8955
69.4 IPS |
|
|
Style Transfer (F32)
|
100% |
6218
8.18 IPS |
|
|
Style Transfer (F16)
|
100% |
6444
8.48 IPS |
|
|
Style Transfer (I8)
|
98% |
13245
17.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1500
53.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1604
57.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2861
102.2 IPS |
|
|
Text Classification (F32)
|
100% |
906
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
1036
1.49 KIPS |
|
|
Text Classification (I8)
|
98% |
297
427.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1158
21.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1115
20.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1511
27.8 IPS |
