Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
8187
Single Precision Score
14884
Half Precision Score
5909
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:40 PM |
| Views | 2 |
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% |
3674
683.2 IPS |
|
|
Image Classification (HP)
|
99% |
6717
1.25 KIPS |
|
|
Image Classification (Q)
|
99% |
2932
546.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5370
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8522
138.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4531
73.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33918
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
102518
119.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29075
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4139
328.3 IPS |
|
|
Object Detection (HP)
|
100% |
8166
647.8 IPS |
|
|
Object Detection (Q)
|
84% |
3440
277.4 IPS |
|
|
Face Detection (SP)
|
100% |
9491
112.8 IPS |
|
|
Face Detection (HP)
|
100% |
15960
189.6 IPS |
|
|
Face Detection (Q)
|
97% |
7836
93.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19231
148.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42174
324.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14412
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
58954
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
166799
214.4 IPS |
|
|
Style Transfer (Q)
|
98% |
46412
59.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11603
428.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19714
728.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7399
274.0 IPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
99% |
2187
2.92 KIPS |
|
|
Text Classification (Q)
|
97% |
972
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1037
19.5 IPS |
