System manufacturer System Product Name
Geekbench AI Score
2365
Single Precision Score
2338
Half Precision Score
1798
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 15 2025 02:12 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% |
1575
292.9 IPS |
|
|
Image Classification (HP)
|
100% |
1570
291.9 IPS |
|
|
Image Classification (Q)
|
99% |
1231
229.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1212
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3326
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3347
3.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
4445
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (HP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (Q)
|
85% |
1489
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
2735
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2612
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2631
20.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2174
20.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3372
4.33 IPS |
|
|
Style Transfer (HP)
|
100% |
3383
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
6643
8.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1828
67.7 IPS |
|
|
Text Classification (SP)
|
100% |
1579
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1577
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
745
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (Q)
|
58% |
665
15.6 IPS |
