Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1946
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 16 2024 10:17 PM |
| Views | 3 |
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 | Ultimative Leistung |
| 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% |
974
182.3 IPS |
|
|
Image Classification (F16)
|
100% |
921
172.3 IPS |
|
|
Image Classification (I8)
|
99% |
2413
451.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
837
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
800
13.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1465
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2713
3.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
2418
2.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
11361
13.8 IPS |
|
|
Object Detection (F32)
|
100% |
906
67.6 IPS |
|
|
Object Detection (F16)
|
100% |
1048
78.3 IPS |
|
|
Object Detection (I8)
|
62% |
1066
79.6 IPS |
|
|
Face Detection (F32)
|
100% |
1960
23.3 IPS |
|
|
Face Detection (F16)
|
100% |
1946
23.1 IPS |
|
|
Face Detection (I8)
|
89% |
2853
33.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
3524
27.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
3201
24.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
9525
73.9 IPS |
|
|
Style Transfer (F32)
|
100% |
6582
8.66 IPS |
|
|
Style Transfer (F16)
|
100% |
6339
8.34 IPS |
|
|
Style Transfer (I8)
|
98% |
13685
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1517
54.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1453
51.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3063
109.4 IPS |
|
|
Text Classification (F32)
|
100% |
985
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1193
1.71 KIPS |
|
|
Text Classification (I8)
|
98% |
272
391.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1140
21.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1131
20.8 IPS |
|
|
Machine Translation (I8)
|
67% |
1602
29.5 IPS |
