Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench ML Score
6615
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 13 2024 04:20 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% |
2417
452.2 IPS |
|
|
Image Classification (F16)
|
100% |
3548
663.9 IPS |
|
|
Image Classification (I8)
|
100% |
2825
528.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
4671
78.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
4501
75.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
3896
65.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
33355
40.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
30392
36.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
25617
31.0 IPS |
|
|
Object Detection (F32)
|
100% |
2708
202.1 IPS |
|
|
Object Detection (F16)
|
100% |
2429
181.3 IPS |
|
|
Object Detection (I8)
|
61% |
2379
177.6 IPS |
|
|
Face Detection (F32)
|
100% |
8457
100.6 IPS |
|
|
Face Detection (F16)
|
100% |
8374
99.6 IPS |
|
|
Face Detection (I8)
|
89% |
6677
79.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
19030
147.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
18996
147.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
15015
116.4 IPS |
|
|
Style Transfer (F32)
|
100% |
55231
72.7 IPS |
|
|
Style Transfer (F16)
|
100% |
58913
77.5 IPS |
|
|
Style Transfer (I8)
|
98% |
51308
67.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12596
449.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11252
401.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
7239
258.5 IPS |
|
|
Text Classification (F32)
|
100% |
1497
2.15 KIPS |
|
|
Text Classification (F16)
|
100% |
1510
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
827
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
2248
41.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2271
41.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1224
22.5 IPS |
