Generic
Geekbench AI Score
640
Single Precision Score
635
Half Precision Score
649
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | March 12 2025 10:32 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Athlon 200GE with Radeon Vega Graphics |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock A320M-HDV R4.0 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Athlon 200GE |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
384
71.5 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.3 IPS |
|
|
Image Classification (Q)
|
100% |
376
70.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
448
7.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
697
0.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
698
0.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
710
0.83 IPS |
|
|
Object Detection (SP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (HP)
|
100% |
357
28.3 IPS |
|
|
Object Detection (Q)
|
87% |
376
30.2 IPS |
|
|
Face Detection (SP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
899
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
1112
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
954
7.35 IPS |
|
|
Depth Estimation (HP)
|
99% |
954
7.35 IPS |
|
|
Depth Estimation (Q)
|
81% |
947
7.48 IPS |
|
|
Style Transfer (SP)
|
100% |
2024
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2022
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
2062
2.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
409
15.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
533
711.3 IPS |
|
|
Text Classification (HP)
|
100% |
514
685.6 IPS |
|
|
Text Classification (Q)
|
91% |
401
538.6 IPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
773
13.3 IPS |
|
|
Machine Translation (Q)
|
100% |
773
13.3 IPS |
