Generic
Geekbench AI Score
511
Single Precision Score
345
Half Precision Score
481
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | March 12 2025 10:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Athlon 200GE |
| 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% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
96% |
309
57.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
313
5.10 IPS |
|
|
Pose Estimation (SP)
|
100% |
634
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
575
0.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
650
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.4 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
58% |
244
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (Q)
|
96% |
957
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
947
7.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
819
6.54 IPS |
|
|
Style Transfer (SP)
|
100% |
1732
2.23 IPS |
|
|
Style Transfer (HP)
|
100% |
1500
1.93 IPS |
|
|
Style Transfer (Q)
|
87% |
1530
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
355
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
405
540.5 IPS |
|
|
Text Classification (HP)
|
100% |
268
357.2 IPS |
|
|
Text Classification (Q)
|
97% |
209
279.8 IPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (Q)
|
68% |
487
9.40 IPS |
