Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
9347
Single Precision Score
17399
Half Precision Score
6647
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | February 12 2026 12:04 AM |
| Views | 5 |
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 | Paragon Perf V4 Power Plan |
| 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% |
4055
754.1 IPS |
|
|
Image Classification (HP)
|
99% |
7591
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
3312
617.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6172
100.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10154
164.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5029
81.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
35522
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
109042
127.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
30515
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4699
372.8 IPS |
|
|
Object Detection (HP)
|
100% |
9886
784.2 IPS |
|
|
Object Detection (Q)
|
84% |
3888
313.6 IPS |
|
|
Face Detection (SP)
|
100% |
10392
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
18281
217.2 IPS |
|
|
Face Detection (Q)
|
97% |
8528
101.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21818
168.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47357
364.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16146
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
61528
79.1 IPS |
|
|
Style Transfer (HP)
|
100% |
172407
221.6 IPS |
|
|
Style Transfer (Q)
|
98% |
52445
67.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12821
473.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22595
834.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8287
306.9 IPS |
|
|
Text Classification (SP)
|
100% |
2200
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1126
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3163
54.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1266
23.8 IPS |
