Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9456
Single Precision Score
17124
Half Precision Score
6798
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 10 2025 06:40 AM |
| Views | 4 |
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% |
4199
780.8 IPS |
|
|
Image Classification (HP)
|
99% |
7413
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
3426
639.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5877
95.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8965
145.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4893
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37325
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
113655
132.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
32069
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4861
385.6 IPS |
|
|
Object Detection (HP)
|
100% |
9488
752.6 IPS |
|
|
Object Detection (Q)
|
84% |
3987
321.6 IPS |
|
|
Face Detection (SP)
|
100% |
10329
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
17391
206.6 IPS |
|
|
Face Detection (Q)
|
97% |
8499
101.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22781
175.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48201
371.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
16974
135.9 IPS |
|
|
Style Transfer (SP)
|
100% |
66805
85.9 IPS |
|
|
Style Transfer (HP)
|
100% |
187524
241.1 IPS |
|
|
Style Transfer (Q)
|
98% |
54919
70.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13261
489.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24465
903.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8722
323.0 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
2846
3.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1168
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2729
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1219
22.9 IPS |
