Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7033
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 09:57 PM |
| 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% |
3577
669.4 IPS |
|
|
Image Classification (F16)
|
100% |
3553
664.9 IPS |
|
|
Image Classification (I8)
|
100% |
2831
529.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5032
84.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4915
82.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4168
69.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
33677
40.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
35912
43.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
28399
34.4 IPS |
|
|
Object Detection (F32)
|
100% |
3231
241.2 IPS |
|
|
Object Detection (F16)
|
100% |
3076
229.6 IPS |
|
|
Object Detection (I8)
|
61% |
2766
206.5 IPS |
|
|
Face Detection (F32)
|
100% |
8858
105.3 IPS |
|
|
Face Detection (F16)
|
100% |
8805
104.7 IPS |
|
|
Face Detection (I8)
|
89% |
6884
81.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
17109
132.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
17329
134.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
14459
112.1 IPS |
|
|
Style Transfer (F32)
|
100% |
62210
81.8 IPS |
|
|
Style Transfer (F16)
|
100% |
54415
71.6 IPS |
|
|
Style Transfer (I8)
|
98% |
48793
64.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12957
462.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11082
395.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7237
258.5 IPS |
|
|
Text Classification (F32)
|
100% |
1566
2.25 KIPS |
|
|
Text Classification (F16)
|
100% |
1654
2.38 KIPS |
|
|
Text Classification (I8)
|
98% |
928
1.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
2542
46.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2476
45.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1245
22.9 IPS |
