Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
1229
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 06:08 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% |
539
100.9 IPS |
|
|
Image Classification (F16)
|
100% |
545
101.9 IPS |
|
|
Image Classification (I8)
|
100% |
454
85.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
836
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
845
14.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
655
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4040
4.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
4034
4.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
2876
3.48 IPS |
|
|
Object Detection (F32)
|
100% |
665
49.6 IPS |
|
|
Object Detection (F16)
|
100% |
672
50.2 IPS |
|
|
Object Detection (I8)
|
54% |
554
41.3 IPS |
|
|
Face Detection (F32)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (I8)
|
89% |
907
10.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2567
19.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2553
19.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
1997
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
8910
11.7 IPS |
|
|
Style Transfer (F16)
|
100% |
9046
11.9 IPS |
|
|
Style Transfer (I8)
|
98% |
6971
9.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1626
58.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1591
56.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
874
31.2 IPS |
|
|
Text Classification (F32)
|
100% |
712
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
713
1.02 KIPS |
|
|
Text Classification (I8)
|
98% |
371
532.9 IPS |
|
|
Machine Translation (F32)
|
100% |
645
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
644
11.9 IPS |
|
|
Machine Translation (I8)
|
70% |
377
6.94 IPS |
