Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1242
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 16 2024 10:15 PM |
| Views | 4 |
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 | Ultimative Leistung |
| 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% |
577
108.0 IPS |
|
|
Image Classification (F16)
|
100% |
577
108.1 IPS |
|
|
Image Classification (I8)
|
100% |
479
89.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
868
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
885
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
667
11.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4154
5.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
4266
5.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
2929
3.55 IPS |
|
|
Object Detection (F32)
|
100% |
664
49.6 IPS |
|
|
Object Detection (F16)
|
100% |
657
49.1 IPS |
|
|
Object Detection (I8)
|
54% |
552
41.2 IPS |
|
|
Face Detection (F32)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (I8)
|
89% |
888
10.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2605
20.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
2585
20.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
2015
15.6 IPS |
|
|
Style Transfer (F32)
|
100% |
9082
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
8946
11.8 IPS |
|
|
Style Transfer (I8)
|
98% |
6889
9.06 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1624
58.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1599
57.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
875
31.2 IPS |
|
|
Text Classification (F32)
|
100% |
716
1.03 KIPS |
|
|
Text Classification (F16)
|
100% |
700
1.01 KIPS |
|
|
Text Classification (I8)
|
98% |
367
528.1 IPS |
|
|
Machine Translation (F32)
|
100% |
635
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
635
11.7 IPS |
|
|
Machine Translation (I8)
|
70% |
373
6.86 IPS |
