Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
7909
Single Precision Score
14922
Half Precision Score
5660
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 01:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
3830
712.2 IPS |
|
|
Image Classification (HP)
|
99% |
7060
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
3144
586.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5543
89.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8854
143.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4605
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
33224
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
101649
118.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
28469
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4242
336.5 IPS |
|
|
Object Detection (HP)
|
100% |
8970
711.5 IPS |
|
|
Object Detection (Q)
|
84% |
3499
282.2 IPS |
|
|
Face Detection (SP)
|
100% |
8849
105.1 IPS |
|
|
Face Detection (HP)
|
100% |
15256
181.3 IPS |
|
|
Face Detection (Q)
|
97% |
6978
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16404
126.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
39548
304.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
13221
105.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51256
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
145160
186.6 IPS |
|
|
Style Transfer (Q)
|
98% |
40277
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10218
377.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20224
746.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6668
246.9 IPS |
|
|
Text Classification (SP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (HP)
|
99% |
2272
3.03 KIPS |
|
|
Text Classification (Q)
|
97% |
961
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2387
41.1 IPS |
|
|
Machine Translation (Q)
|
70% |
983
18.4 IPS |
