ASUS System Product Name
Geekbench ML Score
2574
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | _traeumer |
| Upload Date | March 10 2025 11:40 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.88 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 61.96 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1723
322.4 IPS |
|
|
Image Classification (F16)
|
100% |
1708
319.5 IPS |
|
|
Image Classification (I8)
|
99% |
1526
285.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2901
48.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2938
49.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1481
24.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3955
4.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
3774
4.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
6011
7.28 IPS |
|
|
Object Detection (F32)
|
100% |
1965
146.7 IPS |
|
|
Object Detection (F16)
|
100% |
1974
147.4 IPS |
|
|
Object Detection (I8)
|
65% |
2052
153.2 IPS |
|
|
Face Detection (F32)
|
100% |
3167
37.7 IPS |
|
|
Face Detection (F16)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (I8)
|
87% |
3136
37.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2992
23.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3052
23.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3360
26.1 IPS |
|
|
Style Transfer (F32)
|
100% |
4370
5.75 IPS |
|
|
Style Transfer (F16)
|
100% |
4363
5.74 IPS |
|
|
Style Transfer (I8)
|
98% |
8919
11.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1788
63.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1757
62.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2600
92.9 IPS |
|
|
Text Classification (F32)
|
100% |
1689
2.43 KIPS |
|
|
Text Classification (F16)
|
100% |
1707
2.45 KIPS |
|
|
Text Classification (I8)
|
92% |
889
1.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
3490
64.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3639
67.0 IPS |
|
|
Machine Translation (I8)
|
62% |
1201
22.1 IPS |
