ADVAN 1701
Geekbench AI Score
2513
Single Precision Score
1299
Half Precision Score
2846
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | advnwp |
| Upload Date | November 09 2024 04:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ADVAN 1701 |
| Motherboard | IP3 ARN39-140H-YD |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1757
326.8 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
96% |
2979
556.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.16 IPS |
|
|
Image Segmentation (Q)
|
97% |
1971
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5013
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4388
5.12 IPS |
|
|
Pose Estimation (Q)
|
87% |
10449
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
86% |
1742
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
1234
14.7 IPS |
|
|
Face Detection (Q)
|
96% |
3140
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5980
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2114
16.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
5123
41.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12053
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10149
13.0 IPS |
|
|
Style Transfer (Q)
|
87% |
14095
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2287
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1932
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2372
87.9 IPS |
|
|
Text Classification (SP)
|
100% |
1902
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
731
975.9 IPS |
|
|
Text Classification (Q)
|
97% |
416
556.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (Q)
|
60% |
1460
32.6 IPS |
