System manufacturer System Product Name
Geekbench AI Score
7842
Single Precision Score
7814
Half Precision Score
11981
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | molendinar |
| Upload Date | March 08 2025 02:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Linux Mint 22 |
| 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 0 |
| Base Frequency | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4518
840.2 IPS |
|
|
Image Classification (HP)
|
100% |
4498
836.5 IPS |
|
|
Image Classification (Q)
|
100% |
7229
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5952
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5984
97.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9504
154.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11724
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11872
13.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
25395
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
4816
382.0 IPS |
|
|
Object Detection (HP)
|
100% |
4781
379.3 IPS |
|
|
Object Detection (Q)
|
87% |
7782
624.1 IPS |
|
|
Face Detection (SP)
|
100% |
12279
145.9 IPS |
|
|
Face Detection (HP)
|
100% |
12220
145.2 IPS |
|
|
Face Detection (Q)
|
97% |
24058
286.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13241
102.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12469
96.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
25334
200.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33779
43.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33782
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
70754
91.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6552
241.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6672
246.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13392
496.1 IPS |
|
|
Text Classification (SP)
|
100% |
3238
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
91% |
1583
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4973
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5007
86.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4911
84.6 IPS |
