Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1992
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 01:05 PM |
| 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% |
1039
194.3 IPS |
|
|
Image Classification (F16)
|
100% |
1146
214.5 IPS |
|
|
Image Classification (I8)
|
99% |
2524
472.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
923
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
901
15.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1216
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
2481
3.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
2508
3.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
12052
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1069
79.8 IPS |
|
|
Object Detection (F16)
|
100% |
1043
77.8 IPS |
|
|
Object Detection (I8)
|
62% |
1008
75.2 IPS |
|
|
Face Detection (F32)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (F16)
|
100% |
1964
23.4 IPS |
|
|
Face Detection (I8)
|
89% |
2723
32.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3416
26.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
3165
24.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
8965
69.5 IPS |
|
|
Style Transfer (F32)
|
100% |
6820
8.97 IPS |
|
|
Style Transfer (F16)
|
100% |
6482
8.53 IPS |
|
|
Style Transfer (I8)
|
98% |
12733
16.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1290
46.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1738
62.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2720
97.1 IPS |
|
|
Text Classification (F32)
|
100% |
1078
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1232
1.77 KIPS |
|
|
Text Classification (I8)
|
98% |
300
430.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1246
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1179
21.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1715
31.6 IPS |
