ASUS System Product Name
Geekbench AI Score
3597
Single Precision Score
3603
Half Precision Score
2193
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | vbour |
| Upload Date | June 16 2025 02:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2985
555.1 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.5 IPS |
|
|
Image Classification (Q)
|
99% |
1868
348.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3753
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3792
61.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1265
20.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3772
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3770
4.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
4909
5.75 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
2320
184.1 IPS |
|
|
Object Detection (Q)
|
85% |
1626
130.9 IPS |
|
|
Face Detection (SP)
|
100% |
5092
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
5090
60.5 IPS |
|
|
Face Detection (Q)
|
97% |
3118
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3485
26.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3417
26.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
2401
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3744
4.81 IPS |
|
|
Style Transfer (HP)
|
100% |
3723
4.79 IPS |
|
|
Style Transfer (Q)
|
98% |
6504
8.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3248
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3244
119.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2489
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (Q)
|
92% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4981
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5027
86.6 IPS |
|
|
Machine Translation (Q)
|
58% |
945
22.2 IPS |
