Hetzner
Geekbench AI Score
1282
Single Precision Score
1285
Half Precision Score
1204
Quantized Score
Geekbench AI 1.5.0 Pro for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | March 02 2026 11:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 3900 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Hetzner |
| Motherboard | ASRockRack B450D4U-V1L |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.36 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
840
156.2 IPS |
|
|
Image Classification (HP)
|
100% |
834
155.1 IPS |
|
|
Image Classification (Q)
|
99% |
724
135.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
936
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2034
2.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
2996
3.51 IPS |
|
|
Object Detection (SP)
|
100% |
891
70.7 IPS |
|
|
Object Detection (HP)
|
100% |
891
70.6 IPS |
|
|
Object Detection (Q)
|
85% |
828
66.6 IPS |
|
|
Face Detection (SP)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
1502
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1469
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1470
11.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1556
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2312
2.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2318
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
4820
6.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
869
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1260
46.7 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
812
1.08 KIPS |
|
|
Text Classification (Q)
|
92% |
533
715.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1588
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1610
27.7 IPS |
|
|
Machine Translation (Q)
|
58% |
506
11.9 IPS |
