Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1223
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 05:21 PM |
| Views | 3 |
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% |
556
104.1 IPS |
|
|
Image Classification (F16)
|
100% |
564
105.4 IPS |
|
|
Image Classification (I8)
|
100% |
474
88.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
830
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
851
14.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
657
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
3983
4.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
4206
5.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
2912
3.53 IPS |
|
|
Object Detection (F32)
|
100% |
656
49.0 IPS |
|
|
Object Detection (F16)
|
100% |
644
48.1 IPS |
|
|
Object Detection (I8)
|
54% |
551
41.1 IPS |
|
|
Face Detection (F32)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (F16)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (I8)
|
89% |
895
10.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2468
19.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2513
19.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1950
15.1 IPS |
|
|
Style Transfer (F32)
|
100% |
8825
11.6 IPS |
|
|
Style Transfer (F16)
|
100% |
8891
11.7 IPS |
|
|
Style Transfer (I8)
|
98% |
6943
9.13 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1609
57.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1566
55.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
888
31.7 IPS |
|
|
Text Classification (F32)
|
100% |
729
1.05 KIPS |
|
|
Text Classification (F16)
|
100% |
728
1.05 KIPS |
|
|
Text Classification (I8)
|
98% |
360
516.8 IPS |
|
|
Machine Translation (F32)
|
100% |
626
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
634
11.7 IPS |
|
|
Machine Translation (I8)
|
70% |
361
6.65 IPS |
