Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9661
Single Precision Score
17996
Half Precision Score
6854
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 03 2026 09:44 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 | 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% |
4230
786.6 IPS |
|
|
Image Classification (HP)
|
99% |
7752
1.45 KIPS |
|
|
Image Classification (Q)
|
99% |
3416
637.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6301
102.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10474
169.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5137
83.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
37149
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
116283
135.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
31807
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
4867
386.0 IPS |
|
|
Object Detection (HP)
|
100% |
10125
803.1 IPS |
|
|
Object Detection (Q)
|
84% |
3980
321.0 IPS |
|
|
Face Detection (SP)
|
100% |
10621
126.2 IPS |
|
|
Face Detection (HP)
|
100% |
18530
220.2 IPS |
|
|
Face Detection (Q)
|
97% |
8720
104.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22321
172.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
48747
375.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16937
135.6 IPS |
|
|
Style Transfer (SP)
|
100% |
66861
86.0 IPS |
|
|
Style Transfer (HP)
|
100% |
184792
237.6 IPS |
|
|
Style Transfer (Q)
|
98% |
54247
70.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13165
486.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23676
874.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8583
317.8 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
2953
3.94 KIPS |
|
|
Text Classification (Q)
|
97% |
1162
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1289
24.2 IPS |
