Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2228
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 05:18 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% |
1112
208.1 IPS |
|
|
Image Classification (F16)
|
100% |
1131
211.7 IPS |
|
|
Image Classification (I8)
|
99% |
2503
468.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
876
14.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1849
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3205
3.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
3347
4.05 IPS |
|
|
Pose Estimation (I8)
|
100% |
12001
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1207
90.1 IPS |
|
|
Object Detection (F16)
|
100% |
1095
81.7 IPS |
|
|
Object Detection (I8)
|
62% |
1128
84.2 IPS |
|
|
Face Detection (F32)
|
100% |
2059
24.5 IPS |
|
|
Face Detection (F16)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (I8)
|
89% |
3102
36.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
4017
31.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3640
28.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
9733
75.5 IPS |
|
|
Style Transfer (F32)
|
100% |
6798
8.94 IPS |
|
|
Style Transfer (F16)
|
100% |
6469
8.51 IPS |
|
|
Style Transfer (I8)
|
98% |
13544
17.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1670
59.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1928
68.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2893
103.3 IPS |
|
|
Text Classification (F32)
|
100% |
1075
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1285
1.85 KIPS |
|
|
Text Classification (I8)
|
98% |
813
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1191
21.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1189
21.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1805
33.2 IPS |
