Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2116
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 09:53 PM |
| Views | 4 |
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% |
1041
194.9 IPS |
|
|
Image Classification (F16)
|
100% |
967
180.9 IPS |
|
|
Image Classification (I8)
|
99% |
2278
426.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
888
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
893
14.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1735
29.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
2950
3.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
2554
3.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
11956
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1177
87.9 IPS |
|
|
Object Detection (F16)
|
100% |
1048
78.2 IPS |
|
|
Object Detection (I8)
|
62% |
1136
84.8 IPS |
|
|
Face Detection (F32)
|
100% |
1933
23.0 IPS |
|
|
Face Detection (F16)
|
100% |
1939
23.1 IPS |
|
|
Face Detection (I8)
|
89% |
3011
35.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3760
29.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3244
25.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
8568
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
6706
8.82 IPS |
|
|
Style Transfer (F16)
|
100% |
6352
8.36 IPS |
|
|
Style Transfer (I8)
|
98% |
13439
17.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1806
64.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1404
50.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3104
110.9 IPS |
|
|
Text Classification (F32)
|
100% |
1084
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1192
1.71 KIPS |
|
|
Text Classification (I8)
|
98% |
924
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
1170
21.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1151
21.2 IPS |
|
|
Machine Translation (I8)
|
67% |
1735
31.9 IPS |
