Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1283
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 05 2024 03:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
600
112.2 IPS |
|
|
Image Classification (F16)
|
100% |
612
114.5 IPS |
|
|
Image Classification (I8)
|
100% |
500
93.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
919
15.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
704
11.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
4544
5.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
4479
5.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
3035
3.68 IPS |
|
|
Object Detection (F32)
|
100% |
713
53.2 IPS |
|
|
Object Detection (F16)
|
100% |
711
53.0 IPS |
|
|
Object Detection (I8)
|
54% |
589
44.0 IPS |
|
|
Face Detection (F32)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (F16)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (I8)
|
89% |
914
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2695
20.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2744
21.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2095
16.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9118
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
9155
12.0 IPS |
|
|
Style Transfer (I8)
|
98% |
7070
9.30 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1613
57.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1594
56.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
863
30.8 IPS |
|
|
Text Classification (F32)
|
100% |
721
1.04 KIPS |
|
|
Text Classification (F16)
|
100% |
698
1.00 KIPS |
|
|
Text Classification (I8)
|
98% |
365
524.2 IPS |
|
|
Machine Translation (F32)
|
100% |
638
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
631
11.6 IPS |
|
|
Machine Translation (I8)
|
70% |
372
6.85 IPS |
