Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
6734
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 15 2024 11:48 AM |
| 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 | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3550
664.3 IPS |
|
|
Image Classification (F16)
|
100% |
3548
663.8 IPS |
|
|
Image Classification (I8)
|
100% |
2801
524.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
5053
84.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
5030
84.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
4170
69.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
32907
39.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
34007
41.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
28834
34.9 IPS |
|
|
Object Detection (F32)
|
100% |
2768
206.7 IPS |
|
|
Object Detection (F16)
|
100% |
2659
198.5 IPS |
|
|
Object Detection (I8)
|
61% |
2422
180.8 IPS |
|
|
Face Detection (F32)
|
100% |
8637
102.7 IPS |
|
|
Face Detection (F16)
|
100% |
8127
96.6 IPS |
|
|
Face Detection (I8)
|
89% |
6577
78.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
15469
120.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
16517
128.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
13955
108.2 IPS |
|
|
Style Transfer (F32)
|
100% |
58324
76.7 IPS |
|
|
Style Transfer (F16)
|
100% |
62383
82.1 IPS |
|
|
Style Transfer (I8)
|
98% |
50612
66.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11489
410.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10116
361.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6517
232.7 IPS |
|
|
Text Classification (F32)
|
100% |
1519
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1788
2.57 KIPS |
|
|
Text Classification (I8)
|
98% |
933
1.34 KIPS |
|
|
Machine Translation (F32)
|
100% |
2225
41.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2208
40.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1147
21.1 IPS |
