Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1795
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 04 2024 07:57 AM |
| 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 | 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% |
942
176.2 IPS |
|
|
Image Classification (F16)
|
100% |
864
161.7 IPS |
|
|
Image Classification (I8)
|
99% |
2105
393.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
755
12.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
848
14.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1515
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2616
3.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
2543
3.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
10674
12.9 IPS |
|
|
Object Detection (F32)
|
100% |
788
58.9 IPS |
|
|
Object Detection (F16)
|
100% |
859
64.1 IPS |
|
|
Object Detection (I8)
|
62% |
917
68.5 IPS |
|
|
Face Detection (F32)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (F16)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (I8)
|
89% |
2555
30.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3171
24.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2999
23.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
8537
66.2 IPS |
|
|
Style Transfer (F32)
|
100% |
6208
8.17 IPS |
|
|
Style Transfer (F16)
|
100% |
5767
7.59 IPS |
|
|
Style Transfer (I8)
|
98% |
13312
17.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1474
52.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1239
44.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2927
104.5 IPS |
|
|
Text Classification (F32)
|
100% |
811
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
920
1.32 KIPS |
|
|
Text Classification (I8)
|
98% |
284
408.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1095
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1064
19.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1498
27.6 IPS |
