Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1280
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 27 2024 01:18 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% |
588
110.1 IPS |
|
|
Image Classification (F16)
|
100% |
591
110.7 IPS |
|
|
Image Classification (I8)
|
100% |
489
91.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
889
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
683
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
4216
5.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
4306
5.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
3032
3.67 IPS |
|
|
Object Detection (F32)
|
100% |
694
51.8 IPS |
|
|
Object Detection (F16)
|
100% |
693
51.7 IPS |
|
|
Object Detection (I8)
|
54% |
578
43.2 IPS |
|
|
Face Detection (F32)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (F16)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (I8)
|
89% |
924
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2668
20.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2672
20.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
2065
16.0 IPS |
|
|
Style Transfer (F32)
|
100% |
9391
12.4 IPS |
|
|
Style Transfer (F16)
|
100% |
9429
12.4 IPS |
|
|
Style Transfer (I8)
|
98% |
7239
9.52 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1661
59.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1664
59.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
891
31.8 IPS |
|
|
Text Classification (F32)
|
100% |
728
1.05 KIPS |
|
|
Text Classification (F16)
|
100% |
730
1.05 KIPS |
|
|
Text Classification (I8)
|
98% |
375
539.2 IPS |
|
|
Machine Translation (F32)
|
100% |
655
12.1 IPS |
|
|
Machine Translation (F16)
|
100% |
658
12.1 IPS |
|
|
Machine Translation (I8)
|
70% |
382
7.03 IPS |
