Micro-Star International Co., Ltd. Pulse GL66 12UCK
Geekbench AI Score
2561
Single Precision Score
1087
Half Precision Score
4726
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | March 27 2025 05:59 PM |
| Views | 3 |
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% |
1894
352.3 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
99% |
3825
713.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
651
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2545
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4064
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2856
3.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
13197
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1892
150.1 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (Q)
|
86% |
4011
322.3 IPS |
|
|
Face Detection (SP)
|
100% |
4662
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
1199
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
7048
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5287
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1534
11.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9713
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9903
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6911
8.88 IPS |
|
|
Style Transfer (Q)
|
98% |
15557
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1737
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1356
50.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3417
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
574
765.7 IPS |
|
|
Text Classification (Q)
|
97% |
1470
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2020
40.6 IPS |
