MONSTER TULPAR T5 V23.1
Geekbench AI Score
14883
Single Precision Score
24904
Half Precision Score
11480
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 12:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| 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% |
6109
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
10283
1.92 KIPS |
|
|
Image Classification (Q)
|
100% |
5337
992.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9775
158.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13228
214.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8921
145.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
83604
97.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
214897
250.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
74947
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
6937
550.2 IPS |
|
|
Object Detection (HP)
|
100% |
12869
1.02 KIPS |
|
|
Object Detection (Q)
|
89% |
6142
491.6 IPS |
|
|
Face Detection (SP)
|
100% |
15840
188.2 IPS |
|
|
Face Detection (HP)
|
100% |
24570
291.9 IPS |
|
|
Face Detection (Q)
|
97% |
13581
161.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
33400
257.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68959
531.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
27026
217.1 IPS |
|
|
Style Transfer (SP)
|
100% |
132729
170.6 IPS |
|
|
Style Transfer (HP)
|
100% |
325298
418.2 IPS |
|
|
Style Transfer (Q)
|
98% |
117440
151.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25297
934.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40309
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18838
697.6 IPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3546
4.73 KIPS |
|
|
Text Classification (Q)
|
97% |
1696
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2870
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3097
53.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1318
29.4 IPS |
