ATARI VCS 800 Black Walnut
Geekbench AI Score
602
Single Precision Score
594
Half Precision Score
642
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | April 07 2025 05:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Embedded R1606G with Radeon Vega Gfx |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | ATARI VCS 800 Black Walnut |
| Motherboard | ATARI VCS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Embedded R1606G with Radeon Vega Gfx |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
352
65.4 IPS |
|
|
Image Classification (HP)
|
100% |
355
66.0 IPS |
|
|
Image Classification (Q)
|
100% |
385
71.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (Q)
|
99% |
435
7.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
619
0.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
625
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
87% |
369
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
976
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
1099
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
911
7.02 IPS |
|
|
Depth Estimation (Q)
|
81% |
957
7.55 IPS |
|
|
Style Transfer (SP)
|
100% |
1897
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1905
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2019
2.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
447
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
543
725.3 IPS |
|
|
Text Classification (HP)
|
100% |
526
701.7 IPS |
|
|
Text Classification (Q)
|
91% |
386
518.3 IPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
100% |
845
14.6 IPS |
