Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9370
Single Precision Score
16774
Half Precision Score
6724
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | January 27 2026 05:05 PM |
| Views | 8 |
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 | PC Game Booster Power Plan |
| 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% |
4197
780.5 IPS |
|
|
Image Classification (HP)
|
99% |
7664
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
3374
629.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6238
101.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9910
160.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5087
82.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37524
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
114141
133.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31909
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
4796
380.4 IPS |
|
|
Object Detection (HP)
|
100% |
9376
743.7 IPS |
|
|
Object Detection (Q)
|
84% |
3891
313.8 IPS |
|
|
Face Detection (SP)
|
100% |
10341
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
17659
209.8 IPS |
|
|
Face Detection (Q)
|
97% |
8435
100.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22381
172.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47497
365.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16658
133.4 IPS |
|
|
Style Transfer (SP)
|
100% |
67035
86.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173372
222.9 IPS |
|
|
Style Transfer (Q)
|
98% |
54631
70.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12932
477.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22295
823.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8437
312.4 IPS |
|
|
Text Classification (SP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (HP)
|
99% |
2216
2.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1101
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2932
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3021
52.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1244
23.3 IPS |
