Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
6988
Single Precision Score
12641
Half Precision Score
5107
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 11:14 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% |
3583
666.4 IPS |
|
|
Image Classification (HP)
|
99% |
6734
1.26 KIPS |
|
|
Image Classification (Q)
|
99% |
3064
571.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5162
83.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8468
137.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4204
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
30995
36.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
94023
109.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
26848
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
3714
294.6 IPS |
|
|
Object Detection (HP)
|
100% |
6961
552.1 IPS |
|
|
Object Detection (Q)
|
84% |
3166
255.4 IPS |
|
|
Face Detection (SP)
|
100% |
8191
97.3 IPS |
|
|
Face Detection (HP)
|
100% |
13328
158.4 IPS |
|
|
Face Detection (Q)
|
97% |
6466
77.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17303
133.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
41243
317.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
13227
105.9 IPS |
|
|
Style Transfer (SP)
|
100% |
44721
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
125531
161.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36251
46.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10150
374.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17057
629.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5740
212.5 IPS |
|
|
Text Classification (SP)
|
100% |
1250
1.67 KIPS |
|
|
Text Classification (HP)
|
99% |
1444
1.93 KIPS |
|
|
Text Classification (Q)
|
97% |
736
985.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1643
28.3 IPS |
|
|
Machine Translation (Q)
|
70% |
843
15.8 IPS |
