AMD Ryzen 9 5950X - mitigations=off ASUS System Product Name
Geekbench ML Score
1804
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| User | buggystick |
| Upload Date | March 09 2026 06:16 PM |
| Views | 15 |
System Information
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 5.98 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1355
253.6 IPS |
|
|
Image Classification (F16)
|
100% |
1330
248.9 IPS |
|
|
Image Classification (I8)
|
99% |
1049
196.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1944
32.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2056
34.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1042
17.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2678
3.24 IPS |
|
|
Pose Estimation (F16)
|
100% |
2644
3.20 IPS |
|
|
Pose Estimation (I8)
|
100% |
3748
4.54 IPS |
|
|
Object Detection (F32)
|
100% |
1484
110.8 IPS |
|
|
Object Detection (F16)
|
100% |
1559
116.4 IPS |
|
|
Object Detection (I8)
|
65% |
1390
103.8 IPS |
|
|
Face Detection (F32)
|
100% |
2183
26.0 IPS |
|
|
Face Detection (F16)
|
100% |
2009
23.9 IPS |
|
|
Face Detection (I8)
|
87% |
2382
28.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2024
15.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2044
15.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
2337
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2528
3.32 IPS |
|
|
Style Transfer (F16)
|
100% |
2507
3.30 IPS |
|
|
Style Transfer (I8)
|
98% |
5591
7.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1603
57.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1624
58.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1594
56.9 IPS |
|
|
Text Classification (F32)
|
100% |
1184
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
1156
1.66 KIPS |
|
|
Text Classification (I8)
|
92% |
607
872.7 IPS |
|
|
Machine Translation (F32)
|
100% |
2836
52.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2520
46.4 IPS |
|
|
Machine Translation (I8)
|
62% |
832
15.3 IPS |
