System manufacturer System Product Name
Geekbench AI Score
2263
Single Precision Score
2306
Half Precision Score
1811
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 03:11 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% |
1581
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
1580
293.8 IPS |
|
|
Image Classification (Q)
|
99% |
1267
236.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2542
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2633
42.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1222
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
4420
5.18 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
100% |
1709
135.6 IPS |
|
|
Object Detection (Q)
|
85% |
1490
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
2694
32.0 IPS |
|
|
Face Detection (Q)
|
97% |
2821
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2592
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2557
19.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
2274
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3320
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3311
4.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6662
8.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1729
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1890
70.0 IPS |
|
|
Text Classification (SP)
|
100% |
1311
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
721
969.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2907
50.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (Q)
|
58% |
641
15.0 IPS |
