Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9578
Single Precision Score
17613
Half Precision Score
6768
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 03:19 PM |
| 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% |
4184
778.0 IPS |
|
|
Image Classification (HP)
|
99% |
7675
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
3366
627.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6293
102.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10235
165.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5117
83.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
36479
42.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
112701
131.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
31224
36.6 IPS |
|
|
Object Detection (SP)
|
100% |
4821
382.4 IPS |
|
|
Object Detection (HP)
|
100% |
10038
796.3 IPS |
|
|
Object Detection (Q)
|
84% |
3949
318.5 IPS |
|
|
Face Detection (SP)
|
100% |
10553
125.4 IPS |
|
|
Face Detection (HP)
|
100% |
18395
218.6 IPS |
|
|
Face Detection (Q)
|
97% |
8664
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
22218
171.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47452
365.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16470
131.9 IPS |
|
|
Style Transfer (SP)
|
100% |
64947
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
183900
236.4 IPS |
|
|
Style Transfer (Q)
|
98% |
53536
69.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13156
485.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22547
832.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8502
314.8 IPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
2813
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3114
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1283
24.1 IPS |
