System manufacturer System Product Name
Geekbench AI Score
1655
Single Precision Score
1670
Half Precision Score
1658
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | May 25 2025 09:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Devuan GNU/Linux 5 (daedalus) |
| 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 | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (HP)
|
100% |
1155
214.8 IPS |
|
|
Image Classification (Q)
|
99% |
1098
204.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1250
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2219
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2218
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
4054
4.75 IPS |
|
|
Object Detection (SP)
|
100% |
1252
99.3 IPS |
|
|
Object Detection (HP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (Q)
|
85% |
1322
106.4 IPS |
|
|
Face Detection (SP)
|
100% |
2012
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
2590
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1850
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1865
14.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2007
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2294
2.95 IPS |
|
|
Style Transfer (HP)
|
100% |
2302
2.96 IPS |
|
|
Style Transfer (Q)
|
98% |
5694
7.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1299
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1294
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1697
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
1045
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
681
914.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (Q)
|
58% |
626
14.7 IPS |
