System manufacturer System Product Name
Geekbench AI Score
1529
Single Precision Score
1480
Half Precision Score
1550
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| Upload Date | December 25 2024 06:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X470-PRO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 6.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 46.95 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (Q)
|
99% |
1095
204.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1966
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1142
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1788
2.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
1649
1.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
3872
4.54 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
100% |
1094
86.7 IPS |
|
|
Object Detection (Q)
|
85% |
1282
103.2 IPS |
|
|
Face Detection (SP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
2479
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1442
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1438
11.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1969
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1549
1.99 IPS |
|
|
Style Transfer (HP)
|
100% |
1514
1.95 IPS |
|
|
Style Transfer (Q)
|
98% |
4711
6.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1510
55.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1668
61.8 IPS |
|
|
Text Classification (SP)
|
100% |
1251
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1150
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
671
902.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1723
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1656
28.5 IPS |
|
|
Machine Translation (Q)
|
58% |
503
11.8 IPS |
