Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2197
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 02:36 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% |
1061
198.6 IPS |
|
|
Image Classification (I8)
|
99% |
2321
434.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
965
16.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
950
15.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1411
23.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2855
3.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
3015
3.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
11735
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1272
94.9 IPS |
|
|
Object Detection (F16)
|
100% |
1131
84.5 IPS |
|
|
Object Detection (I8)
|
62% |
1212
90.5 IPS |
|
|
Face Detection (F32)
|
100% |
2005
23.8 IPS |
|
|
Face Detection (F16)
|
100% |
2070
24.6 IPS |
|
|
Face Detection (I8)
|
89% |
3015
35.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2945
22.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
3965
30.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
9751
75.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8249
10.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8114
10.7 IPS |
|
|
Style Transfer (I8)
|
98% |
14751
19.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1962
70.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1976
70.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3431
122.5 IPS |
|
|
Text Classification (F32)
|
100% |
1212
1.74 KIPS |
|
|
Text Classification (F16)
|
100% |
1448
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
321
460.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1366
25.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1788
32.9 IPS |
