Micro-Star International Co., Ltd. Pulse GL66 12UCK
Geekbench AI Score
2422
Single Precision Score
1016
Half Precision Score
4233
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | March 18 2025 04:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| 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% |
1726
321.0 IPS |
|
|
Image Classification (HP)
|
100% |
377
70.2 IPS |
|
|
Image Classification (Q)
|
99% |
3336
622.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2016
32.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3849
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
12136
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1772
140.6 IPS |
|
|
Object Detection (HP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (Q)
|
86% |
3632
291.9 IPS |
|
|
Face Detection (SP)
|
100% |
4212
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
6115
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4899
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1482
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
8908
71.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9336
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6709
8.62 IPS |
|
|
Style Transfer (Q)
|
98% |
14385
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1312
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2896
107.2 IPS |
|
|
Text Classification (SP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
505
673.7 IPS |
|
|
Text Classification (Q)
|
97% |
1324
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
65% |
2074
41.7 IPS |
