ASUS System Product Name
Geekbench AI Score
2284
Single Precision Score
2300
Half Precision Score
1766
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Alex647 |
| Upload Date | April 25 2025 05:22 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B450M-PRO S |
| 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% |
1539
286.2 IPS |
|
|
Image Classification (HP)
|
100% |
1554
289.0 IPS |
|
|
Image Classification (Q)
|
99% |
1179
219.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2351
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2412
39.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1148
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3306
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3266
3.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
4256
4.99 IPS |
|
|
Object Detection (SP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (HP)
|
100% |
1830
145.2 IPS |
|
|
Object Detection (Q)
|
85% |
1446
116.4 IPS |
|
|
Face Detection (SP)
|
100% |
2814
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
2802
33.3 IPS |
|
|
Face Detection (Q)
|
97% |
2786
33.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2618
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2484
19.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2118
19.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3221
4.14 IPS |
|
|
Style Transfer (HP)
|
100% |
3241
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
6494
8.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1833
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1843
68.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1843
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
1430
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1453
1.94 KIPS |
|
|
Text Classification (Q)
|
92% |
728
977.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2873
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3071
52.9 IPS |
|
|
Machine Translation (Q)
|
58% |
692
16.3 IPS |
