Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9145
Single Precision Score
16917
Half Precision Score
6497
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 01 2026 05:16 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 | Ausbalanciert |
| 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% |
3953
735.2 IPS |
|
|
Image Classification (HP)
|
99% |
7493
1.40 KIPS |
|
|
Image Classification (Q)
|
99% |
3251
606.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5976
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9967
161.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5005
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33933
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
105407
123.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29133
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
4598
364.7 IPS |
|
|
Object Detection (HP)
|
100% |
9710
770.2 IPS |
|
|
Object Detection (Q)
|
84% |
3759
303.2 IPS |
|
|
Face Detection (SP)
|
100% |
10200
121.2 IPS |
|
|
Face Detection (HP)
|
100% |
17825
211.8 IPS |
|
|
Face Detection (Q)
|
97% |
8399
100.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21233
163.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46525
358.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
15669
125.5 IPS |
|
|
Style Transfer (SP)
|
100% |
61605
79.2 IPS |
|
|
Style Transfer (HP)
|
100% |
165313
212.5 IPS |
|
|
Style Transfer (Q)
|
98% |
49416
63.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12695
468.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21751
803.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8185
303.1 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2716
3.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1125
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1257
23.6 IPS |
