MONSTER TULPAR T7 V20.5
Geekbench AI Score
2200
Single Precision Score
985
Half Precision Score
3468
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 12:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MONSTER TULPAR T7 V20.5 |
| Motherboard | MONSTER TULPAR T7 V20.5 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1779
330.9 IPS |
|
|
Image Classification (HP)
|
100% |
361
67.1 IPS |
|
|
Image Classification (Q)
|
99% |
2942
548.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3357
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3950
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2838
3.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
12402
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
474
37.6 IPS |
|
|
Object Detection (Q)
|
86% |
3157
253.7 IPS |
|
|
Face Detection (SP)
|
100% |
4302
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
1061
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
5504
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5044
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1478
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9155
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9621
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6902
8.87 IPS |
|
|
Style Transfer (Q)
|
98% |
12496
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1527
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1247
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2910
107.8 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
408
545.2 IPS |
|
|
Text Classification (Q)
|
97% |
227
303.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
65% |
1569
31.5 IPS |
