Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1261
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | July 10 2024 08:09 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% |
600
112.3 IPS |
|
|
Image Classification (F16)
|
100% |
599
112.1 IPS |
|
|
Image Classification (I8)
|
100% |
496
92.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
905
15.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
899
15.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
689
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3611
4.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
3621
4.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
2621
3.17 IPS |
|
|
Object Detection (F32)
|
100% |
693
51.7 IPS |
|
|
Object Detection (F16)
|
100% |
694
51.8 IPS |
|
|
Object Detection (I8)
|
54% |
581
43.3 IPS |
|
|
Face Detection (F32)
|
100% |
1317
15.7 IPS |
|
|
Face Detection (F16)
|
100% |
1318
15.7 IPS |
|
|
Face Detection (I8)
|
89% |
932
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2679
20.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2683
20.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
2056
15.9 IPS |
|
|
Style Transfer (F32)
|
100% |
9634
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
9647
12.7 IPS |
|
|
Style Transfer (I8)
|
98% |
7262
9.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1597
57.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1601
57.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
880
31.4 IPS |
|
|
Text Classification (F32)
|
100% |
712
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
725
1.04 KIPS |
|
|
Text Classification (I8)
|
98% |
362
519.9 IPS |
|
|
Machine Translation (F32)
|
100% |
652
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
652
12.0 IPS |
|
|
Machine Translation (I8)
|
70% |
383
7.05 IPS |
