Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1756
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 22 2024 04:03 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 | Ultimative Leistung |
| 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% |
956
179.0 IPS |
|
|
Image Classification (F16)
|
100% |
928
173.7 IPS |
|
|
Image Classification (I8)
|
99% |
2058
385.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
756
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
772
12.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1210
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
2299
2.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
2066
2.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
11997
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
980
73.2 IPS |
|
|
Object Detection (F16)
|
100% |
898
67.1 IPS |
|
|
Object Detection (I8)
|
62% |
901
67.3 IPS |
|
|
Face Detection (F32)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (F16)
|
100% |
1894
22.5 IPS |
|
|
Face Detection (I8)
|
89% |
2601
30.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3161
24.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2853
22.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
8319
64.5 IPS |
|
|
Style Transfer (F32)
|
100% |
5614
7.38 IPS |
|
|
Style Transfer (F16)
|
100% |
5291
6.96 IPS |
|
|
Style Transfer (I8)
|
98% |
12440
16.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1378
49.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1288
46.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2581
92.2 IPS |
|
|
Text Classification (F32)
|
100% |
781
1.12 KIPS |
|
|
Text Classification (F16)
|
100% |
919
1.32 KIPS |
|
|
Text Classification (I8)
|
98% |
254
364.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1027
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1095
20.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1608
29.6 IPS |
