System manufacturer System Product Name
Geekbench AI Score
2345
Single Precision Score
2290
Half Precision Score
1841
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 10:54 AM |
| Views | 2 |
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% |
1638
304.6 IPS |
|
|
Image Classification (HP)
|
100% |
1591
295.9 IPS |
|
|
Image Classification (Q)
|
99% |
1250
233.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2582
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2653
43.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1294
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3371
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
3374
3.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
4507
5.28 IPS |
|
|
Object Detection (SP)
|
100% |
1691
134.1 IPS |
|
|
Object Detection (HP)
|
100% |
1729
137.1 IPS |
|
|
Object Detection (Q)
|
85% |
1484
119.4 IPS |
|
|
Face Detection (SP)
|
100% |
2731
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (Q)
|
97% |
2885
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2625
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2626
20.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2290
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3385
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
3383
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
6734
8.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1762
65.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1894
70.2 IPS |
|
|
Text Classification (SP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
1314
1.75 KIPS |
|
|
Text Classification (Q)
|
92% |
757
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3109
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2785
48.0 IPS |
|
|
Machine Translation (Q)
|
58% |
650
15.3 IPS |
