Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
6956
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 19 2024 12:41 AM |
| Views | 4 |
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 | NVIDIA GeForce RTX 3050 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3473
649.9 IPS |
|
|
Image Classification (F16)
|
100% |
3533
661.2 IPS |
|
|
Image Classification (I8)
|
100% |
2796
523.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
4969
83.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4986
83.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
4166
69.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
33420
40.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
34210
41.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
28502
34.5 IPS |
|
|
Object Detection (F32)
|
100% |
3092
230.8 IPS |
|
|
Object Detection (F16)
|
100% |
2963
221.2 IPS |
|
|
Object Detection (I8)
|
61% |
2554
190.7 IPS |
|
|
Face Detection (F32)
|
100% |
8662
103.0 IPS |
|
|
Face Detection (F16)
|
100% |
8788
104.5 IPS |
|
|
Face Detection (I8)
|
89% |
6885
81.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18627
144.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
18714
145.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
14923
115.7 IPS |
|
|
Style Transfer (F32)
|
100% |
57688
75.9 IPS |
|
|
Style Transfer (F16)
|
100% |
59267
78.0 IPS |
|
|
Style Transfer (I8)
|
98% |
52481
69.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13055
466.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11339
404.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7280
260.0 IPS |
|
|
Text Classification (F32)
|
100% |
1474
2.12 KIPS |
|
|
Text Classification (F16)
|
100% |
1482
2.13 KIPS |
|
|
Text Classification (I8)
|
98% |
832
1.20 KIPS |
|
|
Machine Translation (F32)
|
100% |
2428
44.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2402
44.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1241
22.8 IPS |
