ASUS System Product Name
Geekbench AI Score
2257
Single Precision Score
2256
Half Precision Score
1934
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 12 2025 12:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.48 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1471
273.5 IPS |
|
|
Image Classification (HP)
|
100% |
1510
280.9 IPS |
|
|
Image Classification (Q)
|
99% |
1208
225.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2602
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2612
42.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1311
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3305
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
3243
3.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
4403
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
100% |
1594
126.5 IPS |
|
|
Object Detection (Q)
|
85% |
1535
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
2651
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
2883
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2630
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2671
20.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2413
22.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3392
4.36 IPS |
|
|
Style Transfer (HP)
|
100% |
3387
4.35 IPS |
|
|
Style Transfer (Q)
|
98% |
7409
9.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2070
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
810
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3047
52.5 IPS |
|
|
Machine Translation (Q)
|
58% |
794
18.6 IPS |
