ATARI VCS 800 Black Walnut
Geekbench AI Score
385
Single Precision Score
252
Half Precision Score
420
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | April 07 2025 05:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
260
48.3 IPS |
|
|
Image Classification (HP)
|
100% |
128
23.7 IPS |
|
|
Image Classification (Q)
|
96% |
297
55.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
240
3.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
467
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
521
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
58% |
207
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
709
8.42 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.96 IPS |
|
|
Face Detection (Q)
|
96% |
798
9.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
595
4.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
370
2.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
737
5.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1182
1.52 IPS |
|
|
Style Transfer (HP)
|
100% |
964
1.24 IPS |
|
|
Style Transfer (Q)
|
87% |
1463
1.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.61 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
318
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
257
342.6 IPS |
|
|
Text Classification (HP)
|
100% |
177
236.2 IPS |
|
|
Text Classification (Q)
|
97% |
175
234.6 IPS |
|
|
Machine Translation (SP)
|
100% |
415
7.14 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (Q)
|
68% |
475
9.19 IPS |
