Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
7064
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2024 10:14 PM |
| Views | 2 |
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 | Ausbalanciert |
| 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% |
3574
668.7 IPS |
|
|
Image Classification (F16)
|
100% |
3386
633.6 IPS |
|
|
Image Classification (I8)
|
100% |
2741
512.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4950
82.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
4948
82.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
4092
68.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
32230
39.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
33340
40.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
29018
35.1 IPS |
|
|
Object Detection (F32)
|
100% |
3003
224.2 IPS |
|
|
Object Detection (F16)
|
100% |
3016
225.2 IPS |
|
|
Object Detection (I8)
|
61% |
2677
199.8 IPS |
|
|
Face Detection (F32)
|
100% |
8675
103.1 IPS |
|
|
Face Detection (F16)
|
100% |
8421
100.1 IPS |
|
|
Face Detection (I8)
|
89% |
6926
82.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
19046
147.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
19193
148.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
14879
115.4 IPS |
|
|
Style Transfer (F32)
|
100% |
60614
79.7 IPS |
|
|
Style Transfer (F16)
|
100% |
63391
83.4 IPS |
|
|
Style Transfer (I8)
|
98% |
51387
67.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12147
433.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11290
403.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7301
260.8 IPS |
|
|
Text Classification (F32)
|
100% |
1613
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
1643
2.36 KIPS |
|
|
Text Classification (I8)
|
98% |
1021
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
2505
46.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2578
47.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1244
22.9 IPS |
