Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7039
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 02 2024 01:07 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 | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3614
676.3 IPS |
|
|
Image Classification (F16)
|
100% |
3595
672.7 IPS |
|
|
Image Classification (I8)
|
100% |
2859
535.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
4924
82.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
4976
83.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4203
70.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
33562
40.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
33801
40.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
28426
34.4 IPS |
|
|
Object Detection (F32)
|
100% |
2972
221.9 IPS |
|
|
Object Detection (F16)
|
100% |
2382
177.8 IPS |
|
|
Object Detection (I8)
|
61% |
2568
191.7 IPS |
|
|
Face Detection (F32)
|
100% |
8786
104.5 IPS |
|
|
Face Detection (F16)
|
100% |
8788
104.5 IPS |
|
|
Face Detection (I8)
|
89% |
6779
80.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
18760
145.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
19425
150.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
14821
114.9 IPS |
|
|
Style Transfer (F32)
|
100% |
65863
86.6 IPS |
|
|
Style Transfer (F16)
|
100% |
59006
77.6 IPS |
|
|
Style Transfer (I8)
|
98% |
52169
68.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12958
462.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11072
395.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7464
266.6 IPS |
|
|
Text Classification (F32)
|
100% |
1626
2.34 KIPS |
|
|
Text Classification (F16)
|
100% |
1634
2.35 KIPS |
|
|
Text Classification (I8)
|
98% |
960
1.38 KIPS |
|
|
Machine Translation (F32)
|
100% |
2513
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2494
45.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1214
22.3 IPS |
