Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9742
Single Precision Score
18005
Half Precision Score
6910
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 01 2025 09:35 PM |
| Views | 10 |
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% |
4243
789.0 IPS |
|
|
Image Classification (HP)
|
99% |
7932
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
3445
642.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6397
103.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10491
170.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5168
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37061
43.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
115139
134.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32001
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
4936
391.6 IPS |
|
|
Object Detection (HP)
|
100% |
10223
810.9 IPS |
|
|
Object Detection (Q)
|
84% |
4030
325.0 IPS |
|
|
Face Detection (SP)
|
100% |
10735
127.6 IPS |
|
|
Face Detection (HP)
|
100% |
18851
224.0 IPS |
|
|
Face Detection (Q)
|
97% |
8864
105.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22555
173.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48837
376.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16802
134.6 IPS |
|
|
Style Transfer (SP)
|
100% |
67225
86.4 IPS |
|
|
Style Transfer (HP)
|
100% |
187305
240.8 IPS |
|
|
Style Transfer (Q)
|
98% |
54912
70.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13450
496.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23195
856.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8660
320.7 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
2806
3.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1167
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3183
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3257
56.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1308
24.5 IPS |
