System manufacturer System Product Name
Geekbench AI Score
2336
Single Precision Score
2348
Half Precision Score
1830
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 08:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1628
302.7 IPS |
|
|
Image Classification (HP)
|
100% |
1598
297.3 IPS |
|
|
Image Classification (Q)
|
99% |
1242
231.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1249
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3333
3.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
4428
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
100% |
1737
137.8 IPS |
|
|
Object Detection (Q)
|
85% |
1478
119.0 IPS |
|
|
Face Detection (SP)
|
100% |
2747
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
2891
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2621
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2623
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2253
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3348
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3353
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
6768
8.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1775
65.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1888
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
1600
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1578
2.11 KIPS |
|
|
Text Classification (Q)
|
92% |
750
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2980
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (Q)
|
58% |
665
15.6 IPS |
