Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9464
Single Precision Score
17592
Half Precision Score
6679
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 06 2026 12:41 PM |
| Views | 9 |
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% |
4096
761.7 IPS |
|
|
Image Classification (HP)
|
99% |
7679
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
3351
625.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6131
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10164
164.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5055
82.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
35648
41.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
112077
130.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
30651
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
4767
378.1 IPS |
|
|
Object Detection (HP)
|
100% |
9959
789.9 IPS |
|
|
Object Detection (Q)
|
84% |
3893
314.0 IPS |
|
|
Face Detection (SP)
|
100% |
10396
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
18357
218.1 IPS |
|
|
Face Detection (Q)
|
97% |
8545
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21853
168.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47723
367.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
16336
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
65193
83.8 IPS |
|
|
Style Transfer (HP)
|
100% |
182904
235.1 IPS |
|
|
Style Transfer (Q)
|
98% |
53124
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12938
477.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22760
840.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8321
308.1 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
2847
3.80 KIPS |
|
|
Text Classification (Q)
|
97% |
1124
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3094
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1261
23.6 IPS |
