Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9194
Single Precision Score
16719
Half Precision Score
6353
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 14 2024 07:27 PM |
| 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% |
3912
727.6 IPS |
|
|
Image Classification (HP)
|
99% |
6981
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
3097
575.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5909
95.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9271
150.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4933
80.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
37460
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
114385
133.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
31954
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
4490
356.1 IPS |
|
|
Object Detection (HP)
|
100% |
8952
710.0 IPS |
|
|
Object Detection (Q)
|
89% |
3333
266.8 IPS |
|
|
Face Detection (SP)
|
100% |
9323
110.8 IPS |
|
|
Face Detection (HP)
|
100% |
15429
183.3 IPS |
|
|
Face Detection (Q)
|
97% |
7299
87.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20654
159.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45349
349.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
15290
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
66951
86.1 IPS |
|
|
Style Transfer (HP)
|
100% |
192913
248.0 IPS |
|
|
Style Transfer (Q)
|
98% |
54664
70.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13519
499.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23753
877.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8619
319.2 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
2910
3.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1200
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2760
47.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1044
23.3 IPS |
