Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9605
Single Precision Score
17984
Half Precision Score
6876
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 11 2026 05:48 PM |
| Views | 11 |
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% |
4028
749.1 IPS |
|
|
Image Classification (HP)
|
99% |
7920
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
3402
634.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6321
102.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10396
168.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5153
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37233
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
115575
134.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
32104
37.6 IPS |
|
|
Object Detection (SP)
|
100% |
4722
374.5 IPS |
|
|
Object Detection (HP)
|
100% |
10197
808.8 IPS |
|
|
Object Detection (Q)
|
84% |
3904
314.8 IPS |
|
|
Face Detection (SP)
|
100% |
10624
126.2 IPS |
|
|
Face Detection (HP)
|
100% |
18782
223.2 IPS |
|
|
Face Detection (Q)
|
97% |
8733
104.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22595
174.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48947
377.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
16876
135.2 IPS |
|
|
Style Transfer (SP)
|
100% |
67361
86.6 IPS |
|
|
Style Transfer (HP)
|
100% |
191812
246.6 IPS |
|
|
Style Transfer (Q)
|
98% |
54522
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13461
497.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23679
874.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8706
322.4 IPS |
|
|
Text Classification (SP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2768
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1184
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1299
24.4 IPS |
