Generic
Geekbench AI Score
882
Single Precision Score
484
Half Precision Score
935
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | pinjoy99 |
| Upload Date | February 10 2025 08:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 1600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
96% |
734
137.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1363
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
1550
1.83 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
58% |
539
58.9 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (Q)
|
96% |
1826
21.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1606
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
730
5.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
1797
14.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3479
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
2995
3.85 IPS |
|
|
Style Transfer (Q)
|
87% |
3849
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
600
22.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
687
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
413
551.7 IPS |
|
|
Text Classification (HP)
|
100% |
209
279.0 IPS |
|
|
Text Classification (Q)
|
97% |
196
262.9 IPS |
|
|
Machine Translation (SP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.45 IPS |
|
|
Machine Translation (Q)
|
68% |
769
14.9 IPS |
