Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2345
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 10 2024 09:37 PM |
| 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% |
1292
241.7 IPS |
|
|
Image Classification (F16)
|
100% |
1359
254.2 IPS |
|
|
Image Classification (I8)
|
99% |
2589
484.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1092
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1065
17.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1764
29.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3562
4.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
4104
4.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
14397
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1097
81.9 IPS |
|
|
Object Detection (F16)
|
100% |
1176
87.8 IPS |
|
|
Object Detection (I8)
|
62% |
1182
88.2 IPS |
|
|
Face Detection (F32)
|
100% |
2007
23.9 IPS |
|
|
Face Detection (F16)
|
100% |
2081
24.7 IPS |
|
|
Face Detection (I8)
|
89% |
2996
35.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
3619
28.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4111
31.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
9404
72.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9345
12.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8682
11.4 IPS |
|
|
Style Transfer (I8)
|
98% |
15103
19.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1978
70.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2032
72.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3419
122.1 IPS |
|
|
Text Classification (F32)
|
100% |
1172
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
1091
1.57 KIPS |
|
|
Text Classification (I8)
|
98% |
308
443.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1342
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1414
26.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1943
35.8 IPS |
