System manufacturer System Product Name
Geekbench AI Score
6847
Single Precision Score
6890
Half Precision Score
11087
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | May 25 2025 11:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
3671
682.7 IPS |
|
|
Image Classification (HP)
|
100% |
3668
682.1 IPS |
|
|
Image Classification (Q)
|
100% |
6804
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5456
88.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5591
90.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9720
158.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10650
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10805
12.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
23358
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4135
328.0 IPS |
|
|
Object Detection (HP)
|
100% |
4167
330.5 IPS |
|
|
Object Detection (Q)
|
87% |
7448
597.3 IPS |
|
|
Face Detection (SP)
|
100% |
10169
120.8 IPS |
|
|
Face Detection (HP)
|
100% |
10124
120.3 IPS |
|
|
Face Detection (Q)
|
97% |
22859
272.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11152
85.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
11229
86.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
22243
175.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28900
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28874
37.1 IPS |
|
|
Style Transfer (Q)
|
98% |
66046
85.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5963
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5950
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11482
425.3 IPS |
|
|
Text Classification (SP)
|
100% |
2736
3.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (Q)
|
91% |
1319
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4805
82.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4808
82.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4798
82.7 IPS |
