ASUS System Product Name
Geekbench ML Score
2596
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | September 25 2025 03:35 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B650-CREATOR |
| CPU Information | |
|---|---|
| Name | AMD EPYC 4585PX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 91.99 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1882
352.2 IPS |
|
|
Image Classification (F16)
|
100% |
1894
354.4 IPS |
|
|
Image Classification (I8)
|
99% |
1748
327.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2975
49.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2953
49.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1471
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
3724
4.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
3597
4.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
5862
7.10 IPS |
|
|
Object Detection (F32)
|
100% |
2187
163.3 IPS |
|
|
Object Detection (F16)
|
100% |
2081
155.4 IPS |
|
|
Object Detection (I8)
|
65% |
2200
164.2 IPS |
|
|
Face Detection (F32)
|
100% |
3311
39.4 IPS |
|
|
Face Detection (F16)
|
100% |
3326
39.6 IPS |
|
|
Face Detection (I8)
|
87% |
3498
41.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2923
22.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2960
23.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
3469
26.9 IPS |
|
|
Style Transfer (F32)
|
100% |
3824
5.03 IPS |
|
|
Style Transfer (F16)
|
100% |
3897
5.13 IPS |
|
|
Style Transfer (I8)
|
98% |
8337
11.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2106
75.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2085
74.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2588
92.4 IPS |
|
|
Text Classification (F32)
|
100% |
1519
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1498
2.15 KIPS |
|
|
Text Classification (I8)
|
92% |
858
1.23 KIPS |
|
|
Machine Translation (F32)
|
100% |
3612
66.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3456
63.6 IPS |
|
|
Machine Translation (I8)
|
62% |
1079
19.8 IPS |
