Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9116
Single Precision Score
17259
Half Precision Score
6514
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 07 2026 09:24 PM |
| Views | 11 |
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% |
3784
703.8 IPS |
|
|
Image Classification (HP)
|
99% |
7545
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
3155
588.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6056
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
10043
162.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5023
81.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34923
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
109092
127.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30142
35.3 IPS |
|
|
Object Detection (SP)
|
100% |
4455
353.4 IPS |
|
|
Object Detection (HP)
|
100% |
9869
782.8 IPS |
|
|
Object Detection (Q)
|
84% |
3667
295.8 IPS |
|
|
Face Detection (SP)
|
100% |
10168
120.8 IPS |
|
|
Face Detection (HP)
|
100% |
18196
216.2 IPS |
|
|
Face Detection (Q)
|
97% |
8357
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21296
164.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46042
354.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
15831
126.8 IPS |
|
|
Style Transfer (SP)
|
100% |
62703
80.6 IPS |
|
|
Style Transfer (HP)
|
100% |
179719
231.0 IPS |
|
|
Style Transfer (Q)
|
98% |
51636
66.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12623
466.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22202
819.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8228
304.7 IPS |
|
|
Text Classification (SP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1122
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3016
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3107
53.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1247
23.4 IPS |
