Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
956
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 26 2024 07:58 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% |
221
41.4 IPS |
|
|
Image Classification (F16)
|
100% |
216
40.4 IPS |
|
|
Image Classification (I8)
|
100% |
204
38.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
702
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
674
11.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
554
9.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
3020
3.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
2985
3.61 IPS |
|
|
Pose Estimation (I8)
|
100% |
2378
2.88 IPS |
|
|
Object Detection (F32)
|
100% |
345
25.7 IPS |
|
|
Object Detection (F16)
|
100% |
404
30.2 IPS |
|
|
Object Detection (I8)
|
54% |
291
21.7 IPS |
|
|
Face Detection (F32)
|
100% |
1014
12.1 IPS |
|
|
Face Detection (F16)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (I8)
|
89% |
758
9.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
2271
17.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2042
15.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
1771
13.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7567
9.95 IPS |
|
|
Style Transfer (F16)
|
100% |
7469
9.82 IPS |
|
|
Style Transfer (I8)
|
98% |
6355
8.36 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1569
56.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1546
55.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
853
30.5 IPS |
|
|
Text Classification (F32)
|
100% |
688
988.4 IPS |
|
|
Text Classification (F16)
|
100% |
712
1.02 KIPS |
|
|
Text Classification (I8)
|
98% |
370
531.2 IPS |
|
|
Machine Translation (F32)
|
100% |
610
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
614
11.3 IPS |
|
|
Machine Translation (I8)
|
70% |
364
6.70 IPS |
