Hetzner SX65 Hetzner
Geekbench AI Score
1275
Single Precision Score
1299
Half Precision Score
1005
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | knedle |
| Upload Date | October 15 2025 08:13 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Hetzner |
| Motherboard | ASRockRack B565D4-V1L |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
875
162.7 IPS |
|
|
Image Classification (HP)
|
100% |
983
182.8 IPS |
|
|
Image Classification (Q)
|
99% |
660
123.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
724
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1758
2.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1748
2.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
2063
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
100% |
1013
80.3 IPS |
|
|
Object Detection (Q)
|
85% |
617
49.7 IPS |
|
|
Face Detection (SP)
|
100% |
1614
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1490
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
1391
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1488
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1467
11.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
1372
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2017
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2027
2.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3656
4.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1066
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (Q)
|
92% |
511
687.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1321
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (Q)
|
58% |
458
10.8 IPS |
