Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9646
Single Precision Score
18064
Half Precision Score
6878
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 03 2026 08:18 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% |
4065
755.9 IPS |
|
|
Image Classification (HP)
|
99% |
7895
1.47 KIPS |
|
|
Image Classification (Q)
|
99% |
3350
624.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6378
103.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10466
169.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5174
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37400
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
116723
136.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
32311
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
4720
374.4 IPS |
|
|
Object Detection (HP)
|
100% |
10192
808.4 IPS |
|
|
Object Detection (Q)
|
84% |
3918
316.0 IPS |
|
|
Face Detection (SP)
|
100% |
10656
126.6 IPS |
|
|
Face Detection (HP)
|
100% |
18785
223.2 IPS |
|
|
Face Detection (Q)
|
97% |
8759
104.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22364
172.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
49449
381.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
16888
135.3 IPS |
|
|
Style Transfer (SP)
|
100% |
67094
86.3 IPS |
|
|
Style Transfer (HP)
|
100% |
188752
242.6 IPS |
|
|
Style Transfer (Q)
|
98% |
54796
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13289
490.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23539
869.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8624
319.3 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2841
3.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1183
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3211
55.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1306
24.5 IPS |
