Micro-Star International Co., Ltd. Pulse GL66 12UCK
Geekbench AI Score
8852
Single Precision Score
15709
Half Precision Score
6426
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | March 18 2025 05:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Pulse GL66 12UCK |
| Motherboard | Micro-Star International Co., Ltd. MS-1584 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3142
584.3 IPS |
|
|
Image Classification (HP)
|
99% |
5919
1.10 KIPS |
|
|
Image Classification (Q)
|
99% |
2894
539.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5545
89.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8384
135.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4714
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39470
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
109836
128.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
33593
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
4210
333.9 IPS |
|
|
Object Detection (HP)
|
100% |
8071
640.2 IPS |
|
|
Object Detection (Q)
|
84% |
3603
290.6 IPS |
|
|
Face Detection (SP)
|
100% |
9720
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
15565
184.9 IPS |
|
|
Face Detection (Q)
|
97% |
8055
96.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
21992
169.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
43929
338.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
16201
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
67239
86.4 IPS |
|
|
Style Transfer (HP)
|
100% |
174690
224.6 IPS |
|
|
Style Transfer (Q)
|
98% |
54944
70.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11768
434.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24210
893.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7994
296.0 IPS |
|
|
Text Classification (SP)
|
100% |
2429
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
2973
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2421
41.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1121
21.0 IPS |
