Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
6832
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 16 2024 10:04 PM |
| Views | 4 |
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% |
3151
589.7 IPS |
|
|
Image Classification (F16)
|
100% |
3132
586.2 IPS |
|
|
Image Classification (I8)
|
100% |
2501
468.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5287
88.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4798
80.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
4032
67.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
30742
37.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
34743
42.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
25494
30.9 IPS |
|
|
Object Detection (F32)
|
100% |
2417
180.4 IPS |
|
|
Object Detection (F16)
|
100% |
2611
194.9 IPS |
|
|
Object Detection (I8)
|
61% |
2303
171.9 IPS |
|
|
Face Detection (F32)
|
100% |
7884
93.7 IPS |
|
|
Face Detection (F16)
|
100% |
7979
94.9 IPS |
|
|
Face Detection (I8)
|
89% |
6977
83.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
19318
149.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
19434
150.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
13718
106.4 IPS |
|
|
Style Transfer (F32)
|
100% |
59131
77.8 IPS |
|
|
Style Transfer (F16)
|
100% |
59010
77.6 IPS |
|
|
Style Transfer (I8)
|
98% |
47216
62.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13884
495.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12356
441.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8876
317.0 IPS |
|
|
Text Classification (F32)
|
100% |
1758
2.53 KIPS |
|
|
Text Classification (F16)
|
100% |
1760
2.53 KIPS |
|
|
Text Classification (I8)
|
98% |
807
1.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
2317
42.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2593
47.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1280
23.6 IPS |
