ASUS System Product Name
Geekbench AI Score
1929
Single Precision Score
1895
Half Precision Score
1587
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | buggystick |
| Upload Date | March 09 2026 07:36 PM |
| Views | 7 |
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% |
1355
252.0 IPS |
|
|
Image Classification (HP)
|
100% |
1362
253.4 IPS |
|
|
Image Classification (Q)
|
99% |
1073
200.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2174
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2026
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1061
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2799
3.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2732
3.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
3860
4.52 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (Q)
|
85% |
1295
104.2 IPS |
|
|
Face Detection (SP)
|
100% |
2212
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
2425
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2093
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2139
16.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1946
18.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2639
3.39 IPS |
|
|
Style Transfer (HP)
|
100% |
2627
3.38 IPS |
|
|
Style Transfer (Q)
|
98% |
5721
7.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1601
59.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1633
60.5 IPS |
|
|
Text Classification (SP)
|
100% |
1159
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
92% |
645
867.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2398
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (Q)
|
58% |
627
14.7 IPS |
