Micro-Star International Co., Ltd. Pulse GL66 12UCK
Geekbench AI Score
9046
Single Precision Score
16222
Half Precision Score
6469
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | March 27 2025 06:47 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3452
642.0 IPS |
|
|
Image Classification (HP)
|
99% |
7235
1.35 KIPS |
|
|
Image Classification (Q)
|
99% |
2814
524.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5704
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8535
138.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4726
76.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39584
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
110948
129.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
33574
39.3 IPS |
|
|
Object Detection (SP)
|
100% |
4234
335.8 IPS |
|
|
Object Detection (HP)
|
100% |
8004
634.9 IPS |
|
|
Object Detection (Q)
|
84% |
3691
297.7 IPS |
|
|
Face Detection (SP)
|
100% |
9769
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
15879
188.7 IPS |
|
|
Face Detection (Q)
|
97% |
8104
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21992
169.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47842
368.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16218
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
69040
88.8 IPS |
|
|
Style Transfer (HP)
|
100% |
181164
232.9 IPS |
|
|
Style Transfer (Q)
|
98% |
56275
72.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13207
487.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23297
860.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8473
313.8 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3021
4.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1110
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2377
40.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1121
21.0 IPS |
