Micro-Star International Co., Ltd. Pulse GL66 12UCK
Geekbench AI Score
2515
Single Precision Score
2575
Half Precision Score
1594
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | March 27 2025 06:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1078
200.5 IPS |
|
|
Image Classification (HP)
|
100% |
1156
214.9 IPS |
|
|
Image Classification (Q)
|
100% |
928
172.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1578
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1167
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8887
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10239
11.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
4858
5.69 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.5 IPS |
|
|
Object Detection (HP)
|
98% |
1071
85.2 IPS |
|
|
Object Detection (Q)
|
86% |
1023
82.3 IPS |
|
|
Face Detection (SP)
|
100% |
2418
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (Q)
|
97% |
1761
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4889
37.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5410
41.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
3408
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20121
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25886
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13008
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3041
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3912
144.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1282
47.5 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
409
545.7 IPS |
|
|
Text Classification (Q)
|
97% |
441
590.3 IPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
70% |
447
8.38 IPS |
