System manufacturer System Product Name
Geekbench AI Score
812
Single Precision Score
488
Half Precision Score
839
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 23 2025 10:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3400G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B350-PLUS |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3400G |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.9 IPS |
|
|
Image Classification (Q)
|
96% |
625
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
374
6.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
659
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1127
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
936
1.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
1188
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
58% |
433
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
622
7.39 IPS |
|
|
Face Detection (Q)
|
96% |
1664
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1375
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
749
5.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
1599
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2818
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2428
3.12 IPS |
|
|
Style Transfer (Q)
|
87% |
2903
3.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
545
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
633
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
480
640.5 IPS |
|
|
Text Classification (HP)
|
100% |
324
433.0 IPS |
|
|
Text Classification (Q)
|
97% |
224
300.0 IPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (Q)
|
68% |
751
14.5 IPS |
