Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2135
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | May 01 2024 09:26 AM |
| Views | 3 |
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% |
1173
219.5 IPS |
|
|
Image Classification (F16)
|
100% |
1069
200.1 IPS |
|
|
Image Classification (I8)
|
99% |
2533
473.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
874
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
877
14.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1406
23.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3033
3.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
2701
3.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
11872
14.4 IPS |
|
|
Object Detection (F32)
|
100% |
1173
87.6 IPS |
|
|
Object Detection (F16)
|
100% |
1063
79.4 IPS |
|
|
Object Detection (I8)
|
62% |
1135
84.7 IPS |
|
|
Face Detection (F32)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (F16)
|
100% |
2077
24.7 IPS |
|
|
Face Detection (I8)
|
89% |
3130
37.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
3682
28.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4272
33.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
10141
78.6 IPS |
|
|
Style Transfer (F32)
|
100% |
7889
10.4 IPS |
|
|
Style Transfer (F16)
|
100% |
6491
8.54 IPS |
|
|
Style Transfer (I8)
|
98% |
13742
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1694
60.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1484
53.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3681
131.4 IPS |
|
|
Text Classification (F32)
|
100% |
1292
1.86 KIPS |
|
|
Text Classification (F16)
|
100% |
1044
1.50 KIPS |
|
|
Text Classification (I8)
|
98% |
306
440.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1331
24.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1280
23.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1618
29.8 IPS |
