Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9195
Single Precision Score
17180
Half Precision Score
6550
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 26 2025 06:11 PM |
| Views | 2 |
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% |
3961
736.6 IPS |
|
|
Image Classification (HP)
|
99% |
7330
1.37 KIPS |
|
|
Image Classification (Q)
|
99% |
3244
605.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5944
96.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9954
161.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4985
81.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34775
40.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
107326
125.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30038
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
4593
364.4 IPS |
|
|
Object Detection (HP)
|
100% |
9716
770.7 IPS |
|
|
Object Detection (Q)
|
84% |
3839
309.6 IPS |
|
|
Face Detection (SP)
|
100% |
10287
122.2 IPS |
|
|
Face Detection (HP)
|
100% |
18256
216.9 IPS |
|
|
Face Detection (Q)
|
97% |
8443
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21342
164.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47285
364.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16004
128.2 IPS |
|
|
Style Transfer (SP)
|
100% |
62786
80.7 IPS |
|
|
Style Transfer (HP)
|
100% |
177814
228.6 IPS |
|
|
Style Transfer (Q)
|
98% |
51583
66.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13138
485.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22346
825.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8320
308.1 IPS |
|
|
Text Classification (SP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (HP)
|
99% |
2712
3.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1102
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3046
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1220
22.9 IPS |
