Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
2372
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 20 2024 04:10 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% |
1246
233.2 IPS |
|
|
Image Classification (F16)
|
100% |
1106
206.9 IPS |
|
|
Image Classification (I8)
|
99% |
2548
476.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1016
17.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1037
17.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1625
27.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4367
5.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
3513
4.25 IPS |
|
|
Pose Estimation (I8)
|
100% |
14071
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1251
93.4 IPS |
|
|
Object Detection (F16)
|
100% |
1102
82.3 IPS |
|
|
Object Detection (I8)
|
62% |
1312
98.0 IPS |
|
|
Face Detection (F32)
|
100% |
2173
25.8 IPS |
|
|
Face Detection (F16)
|
100% |
2137
25.4 IPS |
|
|
Face Detection (I8)
|
89% |
3214
38.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4075
31.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4570
35.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
9539
74.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9273
12.2 IPS |
|
|
Style Transfer (F16)
|
100% |
8978
11.8 IPS |
|
|
Style Transfer (I8)
|
98% |
15542
20.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2108
75.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2093
74.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3328
118.8 IPS |
|
|
Text Classification (F32)
|
100% |
1156
1.66 KIPS |
|
|
Text Classification (F16)
|
100% |
1113
1.60 KIPS |
|
|
Text Classification (I8)
|
98% |
336
482.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1410
25.9 IPS |
|
|
Machine Translation (I8)
|
67% |
1842
33.9 IPS |
