Generic
Geekbench AI Score
1100
Single Precision Score
593
Half Precision Score
1154
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 02 2026 08:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Pro4 |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
728
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (Q)
|
96% |
904
168.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
955
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1454
1.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1241
1.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
1745
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
740
58.7 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
58% |
647
70.7 IPS |
|
|
Face Detection (SP)
|
100% |
2093
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
721
8.56 IPS |
|
|
Face Detection (Q)
|
96% |
2235
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1983
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
855
6.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
2171
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3679
4.73 IPS |
|
|
Style Transfer (HP)
|
100% |
3234
4.16 IPS |
|
|
Style Transfer (Q)
|
87% |
4358
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
646
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
862
31.9 IPS |
|
|
Text Classification (SP)
|
100% |
590
787.8 IPS |
|
|
Text Classification (HP)
|
100% |
325
434.4 IPS |
|
|
Text Classification (Q)
|
97% |
238
318.4 IPS |
|
|
Machine Translation (SP)
|
100% |
920
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
68% |
997
19.3 IPS |
