Neousys Technology Inc. POC-900
Geekbench AI Score
3204
Single Precision Score
3174
Half Precision Score
9959
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | frankholamresearch |
| Upload Date | April 17 2026 06:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 PRO 8640U w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Neousys Technology Inc. POC-900 |
| Motherboard | Neousys Technology Inc. POC-900 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 8640U w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.97 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 14.96 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1910
355.2 IPS |
|
|
Image Classification (HP)
|
100% |
1904
354.0 IPS |
|
|
Image Classification (Q)
|
100% |
6605
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6399
103.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3959
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3498
4.08 IPS |
|
|
Pose Estimation (Q)
|
98% |
15174
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.2 IPS |
|
|
Object Detection (HP)
|
100% |
1798
142.6 IPS |
|
|
Object Detection (Q)
|
88% |
6462
518.0 IPS |
|
|
Face Detection (SP)
|
100% |
3994
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
4062
48.3 IPS |
|
|
Face Detection (Q)
|
100% |
15943
189.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5203
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5174
39.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
15099
117.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10546
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10253
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
42144
54.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8918
330.3 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (Q)
|
92% |
4702
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3378
58.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5447
93.8 IPS |
