ASUS System Product Name
Geekbench AI Score
2135
Single Precision Score
2122
Half Precision Score
1524
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | t3nk3n |
| Upload Date | December 11 2025 04:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII FORMULA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 6.21 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
1342
249.6 IPS |
|
|
Image Classification (Q)
|
99% |
1098
204.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2622
42.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
962
15.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2804
3.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
3836
4.49 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.1 IPS |
|
|
Object Detection (HP)
|
100% |
1585
125.8 IPS |
|
|
Object Detection (Q)
|
85% |
1134
91.3 IPS |
|
|
Face Detection (SP)
|
100% |
2589
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
2427
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2327
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2299
17.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1911
17.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2564
3.30 IPS |
|
|
Style Transfer (HP)
|
100% |
2571
3.30 IPS |
|
|
Style Transfer (Q)
|
98% |
5820
7.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2037
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1488
55.2 IPS |
|
|
Text Classification (SP)
|
100% |
1324
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
621
833.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2797
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (Q)
|
58% |
593
13.9 IPS |
