Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
8969
Single Precision Score
16748
Half Precision Score
6400
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 20 2025 05:14 PM |
| Views | 6 |
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% |
4019
747.4 IPS |
|
|
Image Classification (HP)
|
99% |
7453
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
3188
594.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5922
96.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9984
161.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4967
80.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
33271
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
104011
121.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
29039
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4465
354.1 IPS |
|
|
Object Detection (HP)
|
100% |
9636
764.3 IPS |
|
|
Object Detection (Q)
|
84% |
3704
298.8 IPS |
|
|
Face Detection (SP)
|
100% |
10021
119.1 IPS |
|
|
Face Detection (HP)
|
100% |
17825
211.8 IPS |
|
|
Face Detection (Q)
|
97% |
8358
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20623
158.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45023
346.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
15565
124.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59733
76.8 IPS |
|
|
Style Transfer (HP)
|
100% |
161828
208.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48623
62.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12364
456.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21505
794.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7953
294.5 IPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
2735
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1125
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2818
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3048
52.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1197
22.4 IPS |
