Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
908
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:37 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 | 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 | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
473
88.5 IPS |
|
|
Image Classification (F16)
|
100% |
475
88.8 IPS |
|
|
Image Classification (I8)
|
100% |
365
68.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
502
8.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
428
7.14 IPS |
|
|
Image Segmentation (I8)
|
98% |
407
6.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
4175
5.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
4218
5.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
3108
3.76 IPS |
|
|
Object Detection (F32)
|
100% |
484
36.1 IPS |
|
|
Object Detection (F16)
|
100% |
472
35.2 IPS |
|
|
Object Detection (I8)
|
61% |
394
29.4 IPS |
|
|
Face Detection (F32)
|
100% |
669
7.96 IPS |
|
|
Face Detection (F16)
|
100% |
670
7.96 IPS |
|
|
Face Detection (I8)
|
89% |
503
5.98 IPS |
|
|
Depth Estimation (F32)
|
100% |
2099
16.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2093
16.2 IPS |
|
|
Depth Estimation (I8)
|
94% |
1530
11.9 IPS |
|
|
Style Transfer (F32)
|
100% |
8668
11.4 IPS |
|
|
Style Transfer (F16)
|
100% |
8674
11.4 IPS |
|
|
Style Transfer (I8)
|
98% |
5614
7.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1280
45.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1280
45.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
861
30.8 IPS |
|
|
Text Classification (F32)
|
100% |
445
640.2 IPS |
|
|
Text Classification (F16)
|
100% |
447
642.9 IPS |
|
|
Text Classification (I8)
|
98% |
216
310.3 IPS |
|
|
Machine Translation (F32)
|
100% |
453
8.34 IPS |
|
|
Machine Translation (F16)
|
100% |
453
8.34 IPS |
|
|
Machine Translation (I8)
|
70% |
199
3.67 IPS |
