System manufacturer System Product Name
Geekbench AI Score
2384
Single Precision Score
2351
Half Precision Score
1807
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 17 2025 12:00 AM |
| 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% |
1613
300.0 IPS |
|
|
Image Classification (HP)
|
100% |
1655
307.7 IPS |
|
|
Image Classification (Q)
|
99% |
1267
236.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2739
44.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1154
18.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3370
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
4459
5.22 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (Q)
|
85% |
1497
120.5 IPS |
|
|
Face Detection (SP)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2888
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
2857
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2631
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2601
20.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2234
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3384
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3396
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
6682
8.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1795
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1739
64.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1879
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1428
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
723
971.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (Q)
|
58% |
657
15.4 IPS |
