Micro-Star International Co., Ltd. Pulse GL76 12UEK
Geekbench AI Score
1649
Single Precision Score
701
Half Precision Score
3059
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Den66rus |
| Upload Date | January 29 2025 07:25 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 GL76 12UEK |
| Motherboard | Micro-Star International Co., Ltd. MS-17L3 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1101
204.8 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (Q)
|
99% |
2422
451.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1579
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2492
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
1821
2.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
7985
9.36 IPS |
|
|
Object Detection (SP)
|
100% |
1167
92.5 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (Q)
|
86% |
2517
202.3 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
811
9.63 IPS |
|
|
Face Detection (Q)
|
97% |
4327
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3285
25.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1002
7.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
6216
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6095
7.83 IPS |
|
|
Style Transfer (HP)
|
100% |
4326
5.56 IPS |
|
|
Style Transfer (Q)
|
98% |
11811
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
873
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1936
71.7 IPS |
|
|
Text Classification (SP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
363
484.9 IPS |
|
|
Text Classification (Q)
|
97% |
1055
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
65% |
1441
28.9 IPS |
