Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
8913
Single Precision Score
16872
Half Precision Score
6381
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 11 2026 10:44 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% |
3802
707.0 IPS |
|
|
Image Classification (HP)
|
99% |
7392
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
3115
581.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5889
95.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10010
162.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4841
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34242
40.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106146
123.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29705
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
4415
350.2 IPS |
|
|
Object Detection (HP)
|
100% |
9669
766.9 IPS |
|
|
Object Detection (Q)
|
84% |
3617
291.7 IPS |
|
|
Face Detection (SP)
|
100% |
9857
117.1 IPS |
|
|
Face Detection (HP)
|
100% |
17657
209.8 IPS |
|
|
Face Detection (Q)
|
97% |
8187
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20767
160.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46032
354.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
15596
124.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60823
78.2 IPS |
|
|
Style Transfer (HP)
|
100% |
173589
223.2 IPS |
|
|
Style Transfer (Q)
|
98% |
50672
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12094
446.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21783
804.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7968
295.0 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1120
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2955
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2975
51.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1197
22.4 IPS |
