System manufacturer System Product Name
Geekbench AI Score
2318
Single Precision Score
2306
Half Precision Score
1787
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 15 2025 12:26 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% |
1627
302.5 IPS |
|
|
Image Classification (HP)
|
100% |
1557
289.6 IPS |
|
|
Image Classification (Q)
|
99% |
1244
232.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2500
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2548
41.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1146
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3319
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3301
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
4401
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
100% |
1678
133.1 IPS |
|
|
Object Detection (Q)
|
85% |
1469
118.2 IPS |
|
|
Face Detection (SP)
|
100% |
2842
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
2765
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2526
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2528
19.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2229
20.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3325
4.27 IPS |
|
|
Style Transfer (HP)
|
100% |
3342
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
6599
8.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1749
64.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1829
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
1550
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1526
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
756
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3126
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3041
52.4 IPS |
|
|
Machine Translation (Q)
|
58% |
644
15.1 IPS |
