Micro-Star International Co., Ltd. Katana GF66 11UC
Geekbench AI Score
9332
Single Precision Score
17445
Half Precision Score
6554
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 05:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF66 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-1582 |
| Power Plan | Ultimate Performance |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4081
758.9 IPS |
|
|
Image Classification (HP)
|
99% |
7584
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
3352
625.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6159
99.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10218
165.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4973
80.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
35006
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106498
124.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29992
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
4753
377.0 IPS |
|
|
Object Detection (HP)
|
100% |
9654
765.7 IPS |
|
|
Object Detection (Q)
|
84% |
3843
310.0 IPS |
|
|
Face Detection (SP)
|
100% |
10106
120.1 IPS |
|
|
Face Detection (HP)
|
100% |
18129
215.4 IPS |
|
|
Face Detection (Q)
|
97% |
8319
99.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20693
159.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46011
354.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
15684
125.6 IPS |
|
|
Style Transfer (SP)
|
100% |
62352
80.2 IPS |
|
|
Style Transfer (HP)
|
100% |
177561
228.3 IPS |
|
|
Style Transfer (Q)
|
98% |
50984
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12911
476.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23440
865.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8203
303.8 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
2943
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1140
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3208
55.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1225
23.0 IPS |
