MONSTER TULPAR T5 V23.1
Geekbench AI Score
2701
Single Precision Score
1192
Half Precision Score
3436
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | MONSTER TULPAR T5 V23.1 |
| Motherboard | MONSTER TULPAR T5 V23.1 |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1569
291.9 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
99% |
3237
603.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2356
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4884
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3107
3.63 IPS |
|
|
Pose Estimation (Q)
|
95% |
16563
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
1857
147.3 IPS |
|
|
Object Detection (HP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (Q)
|
88% |
1616
129.5 IPS |
|
|
Face Detection (SP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
1289
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
3391
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5532
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1659
12.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
6642
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11831
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7757
9.97 IPS |
|
|
Style Transfer (Q)
|
98% |
15914
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1604
59.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3450
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
587
783.7 IPS |
|
|
Text Classification (Q)
|
97% |
491
657.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (HP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (Q)
|
60% |
1852
41.3 IPS |
