Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
8033
Single Precision Score
14686
Half Precision Score
5835
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:35 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% |
3676
683.6 IPS |
|
|
Image Classification (HP)
|
99% |
6559
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
3048
568.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5300
85.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7959
129.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4469
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33555
39.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102240
119.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
28824
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
4094
324.7 IPS |
|
|
Object Detection (HP)
|
100% |
8317
659.7 IPS |
|
|
Object Detection (Q)
|
84% |
3450
278.2 IPS |
|
|
Face Detection (SP)
|
100% |
9383
111.5 IPS |
|
|
Face Detection (HP)
|
100% |
15324
182.1 IPS |
|
|
Face Detection (Q)
|
97% |
7760
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19241
148.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41875
322.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
14458
115.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56858
73.1 IPS |
|
|
Style Transfer (HP)
|
100% |
162816
209.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46672
60.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11012
406.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19521
720.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6555
242.7 IPS |
|
|
Text Classification (SP)
|
100% |
1673
2.23 KIPS |
|
|
Text Classification (HP)
|
99% |
2260
3.02 KIPS |
|
|
Text Classification (Q)
|
97% |
966
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1020
19.1 IPS |
