Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1173
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | July 15 2024 04:06 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% |
569
106.4 IPS |
|
|
Image Classification (F16)
|
100% |
561
105.0 IPS |
|
|
Image Classification (I8)
|
100% |
475
88.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
850
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
845
14.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
660
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3072
3.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
3089
3.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
2353
2.85 IPS |
|
|
Object Detection (F32)
|
100% |
656
49.0 IPS |
|
|
Object Detection (F16)
|
100% |
659
49.2 IPS |
|
|
Object Detection (I8)
|
54% |
557
41.6 IPS |
|
|
Face Detection (F32)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (F16)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (I8)
|
89% |
881
10.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2358
18.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2333
18.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
1881
14.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8261
10.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8554
11.3 IPS |
|
|
Style Transfer (I8)
|
98% |
6588
8.67 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1469
52.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1482
52.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
842
30.1 IPS |
|
|
Text Classification (F32)
|
100% |
726
1.04 KIPS |
|
|
Text Classification (F16)
|
100% |
692
994.9 IPS |
|
|
Text Classification (I8)
|
98% |
357
513.1 IPS |
|
|
Machine Translation (F32)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
649
11.9 IPS |
|
|
Machine Translation (I8)
|
70% |
371
6.83 IPS |
