Generic
Geekbench AI Score
844
Single Precision Score
474
Half Precision Score
962
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 10:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 1600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock AB350 Gaming-ITX/ac |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
542
100.7 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.7 IPS |
|
|
Image Classification (Q)
|
96% |
776
144.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
649
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1218
1.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1057
1.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
1520
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
58% |
530
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
571
6.79 IPS |
|
|
Face Detection (Q)
|
96% |
1963
23.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1541
11.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
1853
14.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3108
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2700
3.47 IPS |
|
|
Style Transfer (Q)
|
87% |
3665
4.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
568
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
714
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
416
555.6 IPS |
|
|
Text Classification (HP)
|
100% |
234
311.7 IPS |
|
|
Text Classification (Q)
|
97% |
214
286.1 IPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
314
5.42 IPS |
|
|
Machine Translation (Q)
|
68% |
828
16.0 IPS |
