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 | October 19 2024 12:39 AM |
| 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% |
575
107.6 IPS |
|
|
Image Classification (F16)
|
100% |
574
107.3 IPS |
|
|
Image Classification (I8)
|
100% |
479
89.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
876
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
877
14.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
655
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
3883
4.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
3957
4.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
2763
3.35 IPS |
|
|
Object Detection (F32)
|
100% |
676
50.4 IPS |
|
|
Object Detection (F16)
|
100% |
677
50.5 IPS |
|
|
Object Detection (I8)
|
54% |
567
42.3 IPS |
|
|
Face Detection (F32)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (F16)
|
100% |
1241
14.8 IPS |
|
|
Face Detection (I8)
|
89% |
892
10.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2589
20.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
2605
20.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2043
15.8 IPS |
|
|
Style Transfer (F32)
|
100% |
8576
11.3 IPS |
|
|
Style Transfer (F16)
|
100% |
8661
11.4 IPS |
|
|
Style Transfer (I8)
|
98% |
6718
8.84 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1536
54.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1502
53.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
871
31.1 IPS |
|
|
Text Classification (F32)
|
100% |
707
1.02 KIPS |
|
|
Text Classification (F16)
|
100% |
711
1.02 KIPS |
|
|
Text Classification (I8)
|
98% |
370
531.5 IPS |
|
|
Machine Translation (F32)
|
100% |
618
11.4 IPS |
|
|
Machine Translation (F16)
|
100% |
619
11.4 IPS |
|
|
Machine Translation (I8)
|
70% |
364
6.70 IPS |
