ATARI VCS 800 Black Walnut
Geekbench AI Score
1055
Single Precision Score
1290
Half Precision Score
759
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | techidiot |
| Upload Date | April 07 2025 05:34 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 3 Graphics |
| 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% |
435
80.8 IPS |
|
|
Image Classification (HP)
|
100% |
472
87.7 IPS |
|
|
Image Classification (Q)
|
100% |
370
68.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
499
8.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
363
5.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
3005
3.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5451
6.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
2574
3.01 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
88% |
406
32.6 IPS |
|
|
Face Detection (SP)
|
100% |
1380
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
952
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2183
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2947
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
1665
13.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5277
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
8664
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4425
5.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1927
71.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
933
34.5 IPS |
|
|
Text Classification (SP)
|
100% |
363
484.2 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.0 IPS |
|
|
Text Classification (Q)
|
97% |
220
294.2 IPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
70% |
314
5.90 IPS |
