System manufacturer System Product Name
Geekbench AI Score
2442
Single Precision Score
2474
Half Precision Score
1847
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | bet2600 |
| Upload Date | September 12 2024 03:44 AM |
| Views | 3 |
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 | 5.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1758
326.9 IPS |
|
|
Image Classification (HP)
|
100% |
1729
321.6 IPS |
|
|
Image Classification (Q)
|
99% |
1282
239.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2727
44.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1327
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3403
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
3425
4.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
4594
5.38 IPS |
|
|
Object Detection (SP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (HP)
|
100% |
1899
150.7 IPS |
|
|
Object Detection (Q)
|
85% |
1550
124.8 IPS |
|
|
Face Detection (SP)
|
100% |
2839
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (Q)
|
97% |
2928
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2730
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2743
21.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2303
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3314
4.26 IPS |
|
|
Style Transfer (HP)
|
100% |
3302
4.25 IPS |
|
|
Style Transfer (Q)
|
98% |
6759
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1894
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1902
70.5 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1678
2.24 KIPS |
|
|
Text Classification (Q)
|
92% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3053
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (Q)
|
58% |
591
13.9 IPS |
