Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
884
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 21 2024 07:34 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% |
394
73.7 IPS |
|
|
Image Classification (F16)
|
100% |
397
74.3 IPS |
|
|
Image Classification (I8)
|
100% |
341
63.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
646
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
646
10.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
494
8.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
2823
3.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
2828
3.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
2079
2.52 IPS |
|
|
Object Detection (F32)
|
100% |
389
29.0 IPS |
|
|
Object Detection (F16)
|
100% |
407
30.4 IPS |
|
|
Object Detection (I8)
|
54% |
351
26.2 IPS |
|
|
Face Detection (F32)
|
100% |
857
10.2 IPS |
|
|
Face Detection (F16)
|
100% |
846
10.1 IPS |
|
|
Face Detection (I8)
|
89% |
604
7.18 IPS |
|
|
Depth Estimation (F32)
|
100% |
1785
13.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1817
14.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1445
11.2 IPS |
|
|
Style Transfer (F32)
|
100% |
6920
9.10 IPS |
|
|
Style Transfer (F16)
|
100% |
6767
8.90 IPS |
|
|
Style Transfer (I8)
|
98% |
5118
6.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1346
48.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1374
49.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
738
26.4 IPS |
|
|
Text Classification (F32)
|
100% |
528
758.2 IPS |
|
|
Text Classification (F16)
|
100% |
522
749.7 IPS |
|
|
Text Classification (I8)
|
98% |
266
382.7 IPS |
|
|
Machine Translation (F32)
|
100% |
424
7.80 IPS |
|
|
Machine Translation (F16)
|
100% |
433
7.97 IPS |
|
|
Machine Translation (I8)
|
70% |
276
5.08 IPS |
