Micro-Star International Co., Ltd. Pulse GL66 12UCK
Geekbench AI Score
2632
Single Precision Score
1108
Half Precision Score
4894
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | April 20 2025 01:49 PM |
| Views | 12 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
99% |
4131
770.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2739
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4032
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2869
3.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
13080
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1919
152.2 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.9 IPS |
|
|
Object Detection (Q)
|
86% |
4161
334.4 IPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
6655
79.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5446
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1593
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10276
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9740
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6921
8.90 IPS |
|
|
Style Transfer (Q)
|
98% |
16055
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1790
66.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3221
119.3 IPS |
|
|
Text Classification (SP)
|
100% |
1210
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
551
735.6 IPS |
|
|
Text Classification (Q)
|
97% |
1492
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
631
10.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2429
48.8 IPS |
