Janus ASUS System Product Name
Geekbench AI Score
1506
Single Precision Score
1528
Half Precision Score
1335
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | September 15 2025 06:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3970X |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG ZENITH II EXTREME ALPHA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 4.55 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
912
169.6 IPS |
|
|
Image Classification (HP)
|
100% |
1028
191.2 IPS |
|
|
Image Classification (Q)
|
99% |
707
131.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1758
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1054
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2511
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
3941
4.62 IPS |
|
|
Object Detection (SP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (HP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (Q)
|
85% |
903
72.7 IPS |
|
|
Face Detection (SP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1703
20.2 IPS |
|
|
Face Detection (Q)
|
97% |
1450
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1728
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1713
13.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1636
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2981
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
2991
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
6267
8.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1045
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1026
37.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1606
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
92% |
555
746.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1910
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1869
32.2 IPS |
|
|
Machine Translation (Q)
|
58% |
514
12.1 IPS |
