ADVAN 1701
Geekbench AI Score
3856
Single Precision Score
3878
Half Precision Score
7029
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | advnwp |
| Upload Date | November 09 2024 04:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS with Radeon Graphics |
| 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% |
3009
559.6 IPS |
|
|
Image Classification (HP)
|
100% |
3007
559.2 IPS |
|
|
Image Classification (Q)
|
100% |
4999
929.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3960
64.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5949
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
6074
7.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
12603
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (Q)
|
87% |
4713
378.0 IPS |
|
|
Face Detection (SP)
|
100% |
5054
60.1 IPS |
|
|
Face Detection (HP)
|
100% |
5083
60.4 IPS |
|
|
Face Detection (Q)
|
97% |
13251
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7468
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7441
57.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
12684
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16967
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17036
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35953
46.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3420
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3412
126.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7615
282.1 IPS |
|
|
Text Classification (SP)
|
100% |
1623
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (Q)
|
91% |
1414
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3823
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3910
67.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3848
66.3 IPS |
