System manufacturer System Product Name
Geekbench AI Score
2196
Single Precision Score
2243
Half Precision Score
1838
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | bet2600 |
| Upload Date | July 24 2025 01:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.09 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1576
293.1 IPS |
|
|
Image Classification (HP)
|
100% |
1597
296.9 IPS |
|
|
Image Classification (Q)
|
99% |
1255
234.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1271
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2880
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2886
3.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
4536
5.31 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
1740
138.0 IPS |
|
|
Object Detection (Q)
|
85% |
1514
121.9 IPS |
|
|
Face Detection (SP)
|
100% |
2798
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
2773
32.9 IPS |
|
|
Face Detection (Q)
|
97% |
2794
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2555
19.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2531
19.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2269
21.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3166
4.07 IPS |
|
|
Style Transfer (HP)
|
100% |
3088
3.97 IPS |
|
|
Style Transfer (Q)
|
98% |
6721
8.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1712
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1934
71.7 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
748
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (Q)
|
58% |
655
15.4 IPS |
