Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1831
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 19 2024 12:44 AM |
| 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% |
828
154.9 IPS |
|
|
Image Classification (F16)
|
100% |
857
160.4 IPS |
|
|
Image Classification (I8)
|
99% |
2112
395.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
715
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
740
12.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1600
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
2341
2.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
2423
2.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
10700
13.0 IPS |
|
|
Object Detection (F32)
|
100% |
840
62.7 IPS |
|
|
Object Detection (F16)
|
100% |
884
66.0 IPS |
|
|
Object Detection (I8)
|
62% |
1045
78.0 IPS |
|
|
Face Detection (F32)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (F16)
|
100% |
1816
21.6 IPS |
|
|
Face Detection (I8)
|
89% |
2706
32.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
2808
21.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3070
23.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
8471
65.7 IPS |
|
|
Style Transfer (F32)
|
100% |
5552
7.30 IPS |
|
|
Style Transfer (F16)
|
100% |
5620
7.39 IPS |
|
|
Style Transfer (I8)
|
98% |
13148
17.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1313
46.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1191
42.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2498
89.2 IPS |
|
|
Text Classification (F32)
|
100% |
905
1.30 KIPS |
|
|
Text Classification (F16)
|
100% |
1021
1.47 KIPS |
|
|
Text Classification (I8)
|
98% |
709
1.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1090
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1088
20.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1591
29.3 IPS |
