Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
8768
Single Precision Score
16196
Half Precision Score
6288
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 02:00 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% |
3932
731.3 IPS |
|
|
Image Classification (HP)
|
99% |
7231
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
3144
586.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5604
90.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8887
144.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4684
76.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34360
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105307
122.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29632
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
4379
347.3 IPS |
|
|
Object Detection (HP)
|
100% |
9214
730.9 IPS |
|
|
Object Detection (Q)
|
84% |
3633
293.0 IPS |
|
|
Face Detection (SP)
|
100% |
9736
115.7 IPS |
|
|
Face Detection (HP)
|
100% |
16785
199.4 IPS |
|
|
Face Detection (Q)
|
97% |
8058
96.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20098
154.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
45189
348.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
15186
121.6 IPS |
|
|
Style Transfer (SP)
|
100% |
60276
77.5 IPS |
|
|
Style Transfer (HP)
|
100% |
170558
219.3 IPS |
|
|
Style Transfer (Q)
|
98% |
50398
65.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12128
447.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21928
809.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7907
292.8 IPS |
|
|
Text Classification (SP)
|
100% |
2192
2.93 KIPS |
|
|
Text Classification (HP)
|
99% |
2686
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1118
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2614
45.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1119
21.0 IPS |
