ASUS System Product Name
Geekbench AI Score
1933
Single Precision Score
1941
Half Precision Score
1583
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | buggystick |
| Upload Date | March 09 2026 06:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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 |
| Memory Information | |
|---|---|
| Size | 62.69 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (Q)
|
99% |
1079
201.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2001
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1068
17.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2716
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2710
3.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
3782
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
1581
125.4 IPS |
|
|
Object Detection (HP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (Q)
|
85% |
1283
103.3 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (Q)
|
97% |
2413
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2055
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2122
16.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
1953
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2612
3.36 IPS |
|
|
Style Transfer (HP)
|
100% |
2617
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
5756
7.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1594
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1630
60.4 IPS |
|
|
Text Classification (SP)
|
100% |
1257
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
658
883.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2678
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2722
46.9 IPS |
|
|
Machine Translation (Q)
|
58% |
610
14.3 IPS |
