System manufacturer System Product Name
Geekbench AI Score
2381
Single Precision Score
2399
Half Precision Score
1837
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 09:47 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% |
1623
301.9 IPS |
|
|
Image Classification (HP)
|
100% |
1665
309.7 IPS |
|
|
Image Classification (Q)
|
99% |
1222
227.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2569
41.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2746
44.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1293
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3426
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3406
3.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
4466
5.23 IPS |
|
|
Object Detection (SP)
|
100% |
1739
137.9 IPS |
|
|
Object Detection (HP)
|
100% |
1743
138.3 IPS |
|
|
Object Detection (Q)
|
85% |
1503
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (Q)
|
97% |
2889
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2655
20.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2689
20.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2220
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3456
4.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3447
4.43 IPS |
|
|
Style Transfer (Q)
|
98% |
6695
8.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1722
63.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1884
69.8 IPS |
|
|
Text Classification (SP)
|
100% |
1589
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
761
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3146
54.2 IPS |
|
|
Machine Translation (Q)
|
58% |
673
15.8 IPS |
