System manufacturer System Product Name
Geekbench AI Score
2329
Single Precision Score
2340
Half Precision Score
1816
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 04:40 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% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
1556
289.4 IPS |
|
|
Image Classification (Q)
|
99% |
1221
227.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2725
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1277
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3294
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
4438
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (Q)
|
85% |
1484
119.5 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
2772
33.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2574
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2589
19.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
2219
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3313
4.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3334
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
6694
8.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1872
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1567
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1554
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3135
54.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3159
54.4 IPS |
|
|
Machine Translation (Q)
|
58% |
655
15.4 IPS |
