Positivo Bahia - VAIO VJFH51F11X-B0111H
Geekbench AI Score
6007
Single Precision Score
5335
Half Precision Score
4484
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | leofmartins |
| Upload Date | August 16 2024 01:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Positivo Bahia - VAIO VJFH51F11X-B0111H |
| Motherboard | Positivo Tecnologia SA VJFH51-ADL |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12650H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2602
483.8 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.8 IPS |
|
|
Image Classification (Q)
|
100% |
2147
399.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3877
62.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3212
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22954
26.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26747
31.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
21193
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
3076
244.0 IPS |
|
|
Object Detection (HP)
|
99% |
2984
237.4 IPS |
|
|
Object Detection (Q)
|
89% |
2595
207.8 IPS |
|
|
Face Detection (SP)
|
100% |
6443
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
5621
66.8 IPS |
|
|
Face Detection (Q)
|
97% |
5437
64.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13257
102.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10562
81.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
10264
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
36006
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37641
48.4 IPS |
|
|
Style Transfer (Q)
|
98% |
31161
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9103
336.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8375
309.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6494
240.5 IPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
592
790.8 IPS |
|
|
Text Classification (Q)
|
97% |
859
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2158
37.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2174
37.6 IPS |
|
|
Machine Translation (Q)
|
60% |
895
20.0 IPS |
