Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1273
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 04:31 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 | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
565
105.6 IPS |
|
|
Image Classification (F16)
|
100% |
583
109.1 IPS |
|
|
Image Classification (I8)
|
100% |
484
90.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
898
15.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
903
15.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
696
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4174
5.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
4271
5.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
2977
3.60 IPS |
|
|
Object Detection (F32)
|
100% |
701
52.3 IPS |
|
|
Object Detection (F16)
|
100% |
708
52.8 IPS |
|
|
Object Detection (I8)
|
54% |
588
43.9 IPS |
|
|
Face Detection (F32)
|
100% |
1316
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (I8)
|
89% |
928
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2799
21.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2753
21.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2110
16.4 IPS |
|
|
Style Transfer (F32)
|
100% |
9458
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
9486
12.5 IPS |
|
|
Style Transfer (I8)
|
98% |
7168
9.43 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1531
54.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1585
56.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
887
31.7 IPS |
|
|
Text Classification (F32)
|
100% |
694
997.3 IPS |
|
|
Text Classification (F16)
|
100% |
708
1.02 KIPS |
|
|
Text Classification (I8)
|
98% |
368
528.6 IPS |
|
|
Machine Translation (F32)
|
100% |
644
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
641
11.8 IPS |
|
|
Machine Translation (I8)
|
70% |
377
6.94 IPS |
