Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
7950
Single Precision Score
14263
Half Precision Score
5670
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 05 2024 12:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| 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 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3463
644.0 IPS |
|
|
Image Classification (HP)
|
99% |
6162
1.15 KIPS |
|
|
Image Classification (Q)
|
100% |
2752
511.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5221
84.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8159
132.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4411
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33118
38.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
101352
118.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
28539
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
3998
317.1 IPS |
|
|
Object Detection (HP)
|
100% |
7603
603.0 IPS |
|
|
Object Detection (Q)
|
89% |
3262
261.1 IPS |
|
|
Face Detection (SP)
|
100% |
8359
99.3 IPS |
|
|
Face Detection (HP)
|
100% |
13528
160.7 IPS |
|
|
Face Detection (Q)
|
97% |
6516
77.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18239
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
40689
313.5 IPS |
|
|
Depth Estimation (Q)
|
74% |
13837
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57325
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
156059
200.6 IPS |
|
|
Style Transfer (Q)
|
98% |
47839
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11874
438.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20469
755.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7686
284.6 IPS |
|
|
Text Classification (SP)
|
100% |
1936
2.58 KIPS |
|
|
Text Classification (HP)
|
99% |
2369
3.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1051
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2099
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2160
37.2 IPS |
|
|
Machine Translation (Q)
|
60% |
873
19.5 IPS |
